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Ohio University Psych Statistic Experimental Methods Exam Practice
1] If Madeline wanted to know whether or not her sample results could be generalized to the population, she would use ____ ...
Ohio University Psych Statistic Experimental Methods Exam Practice
1] If Madeline wanted to know whether or not her sample results could be generalized to the population, she would use ______ statistics. If she were summarizing the data from her sample, she would use ______ statistics. inferential; descriptivedescriptive; inferentialinferential; quantitativequantitative; descriptiveProfessor Baker provided a set of in-depth instructional materials for half of the students (randomly determined) taking her experimental methods course. She then compared their test scores against those of the other half of the students who did not receive a set of instructional materials. What is the dependent variable in the study? the total number of studentsthe test scores of the studentswhether or not students got a set of instructional materialsthe difficulty of the testDr. Trebeck is testing adults to determine the effects of 3 different music tempos on how quickly the adults are able to respond in a Jeopardy-style task. The independent variable in this study is ___________.different music temposadults vs. childrentime of responding (i.e., how quickly they are able to respond)gender of the subjectsIdentify the scale of measurement for eye color (blue, black, brown, green, etc.)IntervalOrdinalRatioNominalIdentify the scale of measurement for the amount of money donated to charity in the previous tax year by one particular family.NominalOrdinalIntervalRatioIdentify the scale of measurement for the rankings of the five top-winning horses in the Kentucky Derby (i.e., 1st place, 2nd place, 3rd place, 4th place, and 5th place).NominalOrdinalRatioIntervalIdentify this variable as either measurement (quantitative) or categorical (qualitative):Brand of microwave ownedMeasurement (quantitative)Categorical (qualitative)Identify this variable as either measurement (quantitative) or categorical (qualitative): Total daily intake of caloriesMeasurement (quantitative)Categorical (qualitative)Is this variable discrete or continuous?Total time spent in sleep last nightContinuousDiscreteIs this variable discrete or continuous?GenderContinuousDiscrete"How many days per week do you sleep for a minimum of 8 hours per day? Circle Only One Number: 0 1 2 3 4 5 6 7" This type of question is an example of ___________. a closed-ended questionan open-ended questiona meta analysisa factorial analysisI am selecting people to call for jury duty. It's a small county, so I place the names of everyone who is eligible in a large hat. After mixing thoroughly, I draw 37 people to call. The sampling plan that I used is ________.systematic random samplingstratified samplingcluster samplingsimple random samplingToday, Angelica took a written test designed to measure her IQ level. Her IQ score today was 125. Last week, her IQ score on the same test was 72. This particular IQ test appears to lack _____________. reliabilityvaliditygeneralizabilitybiasWhat is the margin of error?the mistakes made by an experimenter during the sampling stagethe mistakes made by a researcher during the experimental stagethe overall measure of accuracy for an experimentthe measure of accuracy of a sample survey or pollA sample made up of volunteers may be biased because ______. the control group and the experimental group can never be equated (the margin of error is too great between the control group and the experimental group)using volunteers is often not economicalvolunteers may not be representative of the populationthe control group and the experimental group are too similarThe following type of survey question is an example of _______________. "For this survey question, please write two sentences describing your first pet." an closed-ended survey questionan open-ended survey questiona common pitfall when asking survey questionsan experiment that lacks reliability and validityDifficulties -- as well as disasters -- can occur in sampling. Which of the following is NOT an example of either a difficulty or a disaster in sampling? using the wrong sampling framenot being able to contact the individuals who have been selected for the samplegetting no response or getting a volunteer response all of the above are examples of either difficulties or disasters in samplingIdentify one of the seven pitfalls of conducting surveys for the following survey question: "Shouldn't former drug dealers be allowed to not vote in elections if they didn't sell drugs to children and they were in prison for less than 25 years or they sold drugs to adults for more than 10 years, if they expressed remorse (or if they didn't express remorse)?Asking the uninformedUnnecessary complexityOrdering of questionsConfidentiality and anonymityValidity is best described as ___________________.a measurement that is systematically off the mark in one directiona measurement that is systematically off the mark in both directionsa measurement that actually measures what it purports to measure a measurement that will give you the same consistent result time after timeIdentify one of the seven pitfalls when conducting surveys for the following survey question: "Do you agree with the experimenter of this study that capital punishment should be outlawed?" Deliberate biasConfidentiality and anonymityAsking the uninformedUnnecessary complexityUse the following set of SAMPLE data: -2 -1 2 4 5 5What is the standard deviation of this sample data set (i.e., the square root of the variance)?2.712.793.069.37Use the following set of SAMPLE data: -2 -1 2 3 6 8What is the mean of this data set? (rounded)3.672.67-3.673.17Use the following set of SAMPLE data: -2 -1 2 4 5 5What is the median?2.003.003.504.00Use the following set of SAMPLE data: -2 -1 2 4 6 9What is the range?57911Use the following set of SAMPLE data: -2 -1 2 4 5 5What is the Interquartile Range?3467Construct a Stem and Leaf plot (stemplot) using the data below. The sum (total) of the numbers that comprise the leaf in the first row is ____:11 25 22 19 23 21 17 27 21 21 23 28 10 2911171929Using the following data (which are sample exam scores), construct a Grouped Frequency Distribution on your scrap paper. 11 25 22 19 23 21 17 27 21 21 23 28 10 29 Intervals Real Limits Midpoint f cf r% c% 10 - 13 14 - 17 18 - 21 22 - 25 26 - 29What score is associated with the 50th percentile?18 - 2119.521.523Use the Grouped Frequency Distribution that you constructed on your scrap paper in the previous question to answer the following: What percentage of people scored between (and including) 26 and 29?14.29%19.72%21.43%28.57%Assume that verbal SAT scores constitute a normal distribution with a mean of 600 and a standard deviation of 100. What SAT score corresponds to the 30.85th percentile?425450550600Assume that verbal SAT scores constitute a normal distribution, with a mean of 500 and a standard deviation of 100.What percentage of scores are between 535 and 625?46.88%36.32%32.36%25.76%The scores on a PSY 1110 exam were negatively skewed. Jody scored the mean, Marcia scored the median, and Greg scored the mode. Who had the lowest score? JodyMarciaGregAll three had the same scoreThe Interquartile Range contains the middle-most _____________:1/4 of the cases1/2 of the cases3/4 of the cases9/10 of the casesWhich one of the following statements is false?The variance is the standard deviation squared, and the standard deviation is the square root of the variance.The variance can never be greater than the standard deviation.The variance is always a positive number, because it is derived by calculating the squared raw data values. The variance is a measurement of the spread between numbers in a data set. The variance measures how far each number in the set is from the mean.The following defines the normal curve:The normal curve is always unimodal; it is never bi-modal.mean = median = mode (i.e., the mean, median, and mode are all approximately the same value)The normal curve is always symmetrical.all of the aboveTransforming X values (i.e., raw data scores) into z-scores NEVER changes the shape of the distribution. True or false?TrueFalseA positive z-score always corresponds to an X value (i.e., a raw data score) that is above the mean. True or false?TrueFalseA z-score transformation is a useful statistical tool because it enables statisticians to _____:determine which scores are the best scores in a distributioncompare two or more distributions' skewnessmore easily determine the highest and lowest scores in a distributioncompare and interpret scores from virtually any distributionAssume that the µ (population mean) for a test was 50 and the σ (population standard deviation) was 4.5. Lisa scored 56 on the test, Jill had a z-score of +1.5, and Ellianna scored at the 75th percentile. Who did the best on the test (in other words, who had the highest score)? JillLisaElliannaThe performance of all three was identicalA distribution of z-scores always has a mean of _____ and a standard deviation of _____. 0, 11, 01, 10, 0Which of the following is the best interpretation of what the 65th percentile of a distribution means?65% of the scores fall equal to or above the 65th percentile65% of the scores fall equal to or below the 65th percentile65% of the scores are equal to, or fall at, the 65th percentile65% of the scores fall at the 65th percentile about 65% of the timeWhich of the following sets of correlations correctly orders the highest to lowest degree of relationship between two variables (i.e., the highest degree of relationship between two variables to the lowest degree of relationship between two variables)? -0.96, +0.72, +0.10, -0.03-0.03, +0.10, +0.72, -0.96+0.72, -0.96, +0.10, -0.03+0.72, +0.10, -0.03, -0.96Suppose a correlation between height (X) and weight (Y) for adults is +0.89. What percentage of the variability in the data is due to the relationship between height and weight? 89%67%79%25%We know that college GPA is positively correlated with salary after college. If we use knowledge of a student's GPA to predict his or her salary, the predictor variable is _______ and the criterion variable is _______. GPA; salarysalary; GPAsalary; the correlation between GPA and salaryGPA; the correlation between GPA and salaryThe following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8What is COVxy (the covariance)? -1.70+1.70-2.30+2.30-3.22+3.22The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is Sy (the standard deviation of Y)? In other words, the square root of the variance of the Y variable. 0.310.554.4419.670.4970.70The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 The Pearson Correlation Coefficient (r) is: r = -0.90r = +0.90r = +0.79r = -0.79r = -0.95r = +0.95The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is the slope (b)? -0.01-2.304.44-0.1419.673.22The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is the y-intercept (a) for this data?6.056.677.958.3357.905.49The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is the regression equation for this data?ŷ = 7.85X + (-0.12)ŷ = 8.33X + (-2.30)ŷ = 4.44X + 8.33ŷ = -0.12X + 7.85ŷ = -0.14X + 7.95ŷ = 5.49X + (-0.14)A psychologist studied self-esteem scores and found the sample data set of 57 people to be normally distributed, with a mean of 105 and a standard deviation of 6. What is the median of this distribution? 657105The median cannot be determined from the limited information given INSTRUCTIONS FOR THE following questions belowIf the question requires computation, do the calculations and then give or select the correct values using the following rule:Keep at least 4 decimal places at intermediate steps of a calculation, and round your final answer to 2 decimal places, unless otherwise noted. For example: 16.6667 would become 16.67 after roundingA survey of Ohio University students was conducted to determine if there was a particular Green that was desired by students to live on. A sample of students responses are reproduced below. Do students prefer a particular Green? Use critical value = 5.99. Use the numbers below for this question only! West Green South Green East Green 36 57 75 What is the calculated chi-squared value? A survey of Ohio University students was conducted to determine if there was a particular Green that was desired by students to live on. A sample of students responses are reproduced below. Do students prefer a particular Green? Use critical value = 5.99. Use the numbers below for this question only! West Green South Green East Green 26 66 115 What would the expected value for the West Green be? A local sports bar wanted to determine whether Ohio University students prefer a particular type of food in their establishment. A sample of students responses are reproduced below. Do students prefer a particular type of bar food? Use critical value = 6.58. Use the numbers below for this question only! Nachos Pizza Chicken Wings Cheese Sticks 31 40 37 47 What would the expected value for Cheese Sticks be? A local sports bar wanted to determine whether Ohio University students prefer a particular type of food in their establishment. A sample of students responses are reproduced below. Do students prefer a particular type of bar food? Use critical value = 6.58. Use the numbers below for this question only! Nachos Pizza Chicken Wings Cheese Sticks 40 37 39 44 What is the calculated chi-squared value? Using a critical value of 6.58, was there a significant preference for what students eat in a sports bar based on the obtained chi-square value in Question 5? Yes NoIn a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Binge Drinking? YES NO Male 215 270 Female 216 235 What would the expected value for the "male-yes" cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Binge Drinking? YES NO Male 256 224 Female 272 235 What would the expected value for the "female-no" cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Test for a relationship in the following data: Use the numbers below for this question only! Binge Drinking? YES NO Male 44 27 Female 24 49 What is the calculated chi-squared value? Using a critical value of 3.84, and based on the obtained chi-square value in Question 9, is there a significant relationship between gender and binge drinking? Yes NoIn a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests.Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 219 278 Female 229 232What would the expected value for the "male-no" cell be?In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 201 235 Female 263 261 What would the expected value for the "female-yes" cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Test for a relationship in the following data: Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 45 23 Female 25 51 What is the calculated chi-squared value? Using a critical value of 3.84, and based on the obtained chi-square value in Question 13, is there a significant relationship between gender and alcohol-related arrests? Yes NoWhich of the following is not a true statement about bar graphs?The horizontal axis does not need to be labeled for a bar graph.Bar graphs show percentages or frequencies in various categories.Bar graphs represent categorical data.Pictograms are similar to bar graphs except they use pictures related to the topic.Papa Johns conducted a survey of 100 nursing students taking statistics to determine what toppings they preferred on their pizza. Data handlers converted students' responses into a pie (no pun intended) chart to display the results clearly to upper management. Did the data handlers do a good job in constructing a quality statistical picture? Examine the statistical picture below and if you see a feature that is problematic (e.g., inaccurate or misleading), place your cursor over that feature and click. If you change your mind, click on the clear button on the bottom left and you can begin again. If you decide the statistical picture contains no problematic features, click just above the word "cheese." (Hint: Check out the components of a well-designed statistical picture that are listed on page 7 of the Module 6 course notes, such as appropriate Title, correct Source, etc.)If you are having problems getting your choice to register and save, then you are probably not using the Firefox browser. Switching to the Firefox browser should remedy the problem. If the problem persists, let your moderator know what your choice is BEFORE THE ASSIGNMENT DEADLINE!
Assignment: Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of pub ...
Assignment: Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of published material. Sometimes, claims are made that do not match the results of the analysis. Unfortunately, this is why statistics is sometimes unfairly associated with telling lies. These misalignments might not be solely attributable to statistical nonsense, but also “user error.” One of the greatest areas of user error is within the practice of hypothesis testing and interpreting statistical significance. As you continue to consume research, be sure and read everything with a critical eye and call out statements that do not match the results. For this Assignment, you will examine statistical significance and meaningfulness based on sample statements. Critically evaluate each of the two scenarios (See scenarios below) selected based upon the following points: Critically evaluate the sample size. Critically evaluate the statements for meaningfulness. Critically evaluate the statements for statistical significance. Based on your evaluation, provide an explanation of the implications for social change. Scenario #1 Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very minor difference in attitude between men and women). Were the results meaningful? An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private, and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The cultural competency score ranges from 0 to 10, with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD = 2.1). The results were significant t (1311) = 2.0, p <.05, indicating that women are more culturally competent than are men. These results tell us that gender-specific interventions targeted toward men may assist in bolstering cultural competency. Scenario #2 A study has results that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private, and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables, r =.87, p < .01, showing that as level of income increases, job satisfaction increases as well. Use 4 or more references with proper APA format and citations and referencing. Include the reference below. Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications
IRP Research Question and Data Set
Using the attached IRP Template 2018, add the following information to the "Issue Analysis: Data:" section.Your research q ...
IRP Research Question and Data Set
Using the attached IRP Template 2018, add the following information to the "Issue Analysis: Data:" section.Your research question for your IRP. ANOVA example: "Is there a statistically significant difference between these groups (identify the groups) based on this characteristic (identify the characteristic)? Simple Linear Regression (SLR) example: "Is this factor (identify the factor) a statistically significant predictor of a characteristic (identify the characteristic) based on this data sample?The statistical question that you hope to answer by analyzing the data set you picked.ANOVA Example:H0: μ1 = μ2 = ... = μnHA: Not all means are equal (i.e. μ1 ≠ μ2 or μ2 ≠ μ3 ... μ1 ≠ μn)Simple Linear Regression Example:H0: β1 = 0HA: β1 ≠ 0The name, source, and a link to your data set. Also, include the number of records and attributes in the data set. You do not have to use all of the attributes or records in your analysis. Do not submit your data set at this time.Save your file as a PDF file and upload it to this assignment.IRP RQ & DS (1)IRP RQ & DS (1)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeResearch Question25.0 ptsClearly written.17.0 ptsA research question is provided, but is not clearly written.0.0 ptsNot provided.25.0 ptsThis criterion is linked to a Learning OutcomeStatistical Question25.0 ptsStatistical question aligns with research question.17.0 ptsStatistical question submitted, but does not align with the research question.0.0 ptsNo statistical question provided.25.0 ptsThis criterion is linked to a Learning OutcomeData Source25.0 ptsData set reference information provided.17.0 ptsData set reference information provided, but does not check out.0.0 ptsNo data set reference information provided.25.0 ptsThis criterion is linked to a Learning OutcomeDescription of Data Set25.0 ptsFull Marks13.0 ptsData is somewhat described, but insufficient detail is provided.0.0 ptsData set is not described.25.0 ptsTotal Points: 100.0
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of ho ...
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of hours you sleep, how many gallons of gas are in your car when you get into it, how many boxes of cereal are in your house, how many days between grocery shopping, etc. (just make sure it takes only integer values). Try to list all of the possible values that this discrete random variable can take. If you can, collect some frequency data – give the relative frequency table and use this as an estimate of the probability distribution. Calculate the expected value and the standard deviation for this probability distribution. Interpret these parameters, and discuss whether they make sense based on your experience.
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month th ...
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that an employee will have less than 20 minutes of unused sick time?2. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that three randomly chosen employees have over 400 unused sick minutes at the end of the year?3. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over 400 minutes of sick leave at the end of the year. What percentage of employees could expect a cash payment?4. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over a specified amount of sick leave minutes. Assuming that the company wishes no more than 5 percent of all employees to get a cash payment, what should the required number of minutes be?5. Suppose the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that a customer is served in less than 3 minutes is 0.6. If the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that the time it takes for a randomly selected customer to be served will be less than 5 minutes is 0.40.7. If a uniform distribution and normal distribution both have the same mean and the same range, the normal distribution will have a larger standard deviation than the uniform distribution8. It has been determined the weight of bricks made by the Dillenger Stone Company is uniformly distributed between 1 and 1.5 pounds. Based on this information, the probability that two randomly selected bricks will each weigh more than 1.3 pounds is 0.16.9. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. Based on this, the probability that a part selected will not be dry is approximately 0.33.10. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. The probability that none of three parts picked are still wet when they are selected is approximately 0.04.
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20210128002212math265 Course Project Part A 1
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is In this circu ...
20210128002212math265 Course Project Part A 1
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is In this circuit, initially, the capacitor ...
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Ohio University Psych Statistic Experimental Methods Exam Practice
1] If Madeline wanted to know whether or not her sample results could be generalized to the population, she would use ____ ...
Ohio University Psych Statistic Experimental Methods Exam Practice
1] If Madeline wanted to know whether or not her sample results could be generalized to the population, she would use ______ statistics. If she were summarizing the data from her sample, she would use ______ statistics. inferential; descriptivedescriptive; inferentialinferential; quantitativequantitative; descriptiveProfessor Baker provided a set of in-depth instructional materials for half of the students (randomly determined) taking her experimental methods course. She then compared their test scores against those of the other half of the students who did not receive a set of instructional materials. What is the dependent variable in the study? the total number of studentsthe test scores of the studentswhether or not students got a set of instructional materialsthe difficulty of the testDr. Trebeck is testing adults to determine the effects of 3 different music tempos on how quickly the adults are able to respond in a Jeopardy-style task. The independent variable in this study is ___________.different music temposadults vs. childrentime of responding (i.e., how quickly they are able to respond)gender of the subjectsIdentify the scale of measurement for eye color (blue, black, brown, green, etc.)IntervalOrdinalRatioNominalIdentify the scale of measurement for the amount of money donated to charity in the previous tax year by one particular family.NominalOrdinalIntervalRatioIdentify the scale of measurement for the rankings of the five top-winning horses in the Kentucky Derby (i.e., 1st place, 2nd place, 3rd place, 4th place, and 5th place).NominalOrdinalRatioIntervalIdentify this variable as either measurement (quantitative) or categorical (qualitative):Brand of microwave ownedMeasurement (quantitative)Categorical (qualitative)Identify this variable as either measurement (quantitative) or categorical (qualitative): Total daily intake of caloriesMeasurement (quantitative)Categorical (qualitative)Is this variable discrete or continuous?Total time spent in sleep last nightContinuousDiscreteIs this variable discrete or continuous?GenderContinuousDiscrete"How many days per week do you sleep for a minimum of 8 hours per day? Circle Only One Number: 0 1 2 3 4 5 6 7" This type of question is an example of ___________. a closed-ended questionan open-ended questiona meta analysisa factorial analysisI am selecting people to call for jury duty. It's a small county, so I place the names of everyone who is eligible in a large hat. After mixing thoroughly, I draw 37 people to call. The sampling plan that I used is ________.systematic random samplingstratified samplingcluster samplingsimple random samplingToday, Angelica took a written test designed to measure her IQ level. Her IQ score today was 125. Last week, her IQ score on the same test was 72. This particular IQ test appears to lack _____________. reliabilityvaliditygeneralizabilitybiasWhat is the margin of error?the mistakes made by an experimenter during the sampling stagethe mistakes made by a researcher during the experimental stagethe overall measure of accuracy for an experimentthe measure of accuracy of a sample survey or pollA sample made up of volunteers may be biased because ______. the control group and the experimental group can never be equated (the margin of error is too great between the control group and the experimental group)using volunteers is often not economicalvolunteers may not be representative of the populationthe control group and the experimental group are too similarThe following type of survey question is an example of _______________. "For this survey question, please write two sentences describing your first pet." an closed-ended survey questionan open-ended survey questiona common pitfall when asking survey questionsan experiment that lacks reliability and validityDifficulties -- as well as disasters -- can occur in sampling. Which of the following is NOT an example of either a difficulty or a disaster in sampling? using the wrong sampling framenot being able to contact the individuals who have been selected for the samplegetting no response or getting a volunteer response all of the above are examples of either difficulties or disasters in samplingIdentify one of the seven pitfalls of conducting surveys for the following survey question: "Shouldn't former drug dealers be allowed to not vote in elections if they didn't sell drugs to children and they were in prison for less than 25 years or they sold drugs to adults for more than 10 years, if they expressed remorse (or if they didn't express remorse)?Asking the uninformedUnnecessary complexityOrdering of questionsConfidentiality and anonymityValidity is best described as ___________________.a measurement that is systematically off the mark in one directiona measurement that is systematically off the mark in both directionsa measurement that actually measures what it purports to measure a measurement that will give you the same consistent result time after timeIdentify one of the seven pitfalls when conducting surveys for the following survey question: "Do you agree with the experimenter of this study that capital punishment should be outlawed?" Deliberate biasConfidentiality and anonymityAsking the uninformedUnnecessary complexityUse the following set of SAMPLE data: -2 -1 2 4 5 5What is the standard deviation of this sample data set (i.e., the square root of the variance)?2.712.793.069.37Use the following set of SAMPLE data: -2 -1 2 3 6 8What is the mean of this data set? (rounded)3.672.67-3.673.17Use the following set of SAMPLE data: -2 -1 2 4 5 5What is the median?2.003.003.504.00Use the following set of SAMPLE data: -2 -1 2 4 6 9What is the range?57911Use the following set of SAMPLE data: -2 -1 2 4 5 5What is the Interquartile Range?3467Construct a Stem and Leaf plot (stemplot) using the data below. The sum (total) of the numbers that comprise the leaf in the first row is ____:11 25 22 19 23 21 17 27 21 21 23 28 10 2911171929Using the following data (which are sample exam scores), construct a Grouped Frequency Distribution on your scrap paper. 11 25 22 19 23 21 17 27 21 21 23 28 10 29 Intervals Real Limits Midpoint f cf r% c% 10 - 13 14 - 17 18 - 21 22 - 25 26 - 29What score is associated with the 50th percentile?18 - 2119.521.523Use the Grouped Frequency Distribution that you constructed on your scrap paper in the previous question to answer the following: What percentage of people scored between (and including) 26 and 29?14.29%19.72%21.43%28.57%Assume that verbal SAT scores constitute a normal distribution with a mean of 600 and a standard deviation of 100. What SAT score corresponds to the 30.85th percentile?425450550600Assume that verbal SAT scores constitute a normal distribution, with a mean of 500 and a standard deviation of 100.What percentage of scores are between 535 and 625?46.88%36.32%32.36%25.76%The scores on a PSY 1110 exam were negatively skewed. Jody scored the mean, Marcia scored the median, and Greg scored the mode. Who had the lowest score? JodyMarciaGregAll three had the same scoreThe Interquartile Range contains the middle-most _____________:1/4 of the cases1/2 of the cases3/4 of the cases9/10 of the casesWhich one of the following statements is false?The variance is the standard deviation squared, and the standard deviation is the square root of the variance.The variance can never be greater than the standard deviation.The variance is always a positive number, because it is derived by calculating the squared raw data values. The variance is a measurement of the spread between numbers in a data set. The variance measures how far each number in the set is from the mean.The following defines the normal curve:The normal curve is always unimodal; it is never bi-modal.mean = median = mode (i.e., the mean, median, and mode are all approximately the same value)The normal curve is always symmetrical.all of the aboveTransforming X values (i.e., raw data scores) into z-scores NEVER changes the shape of the distribution. True or false?TrueFalseA positive z-score always corresponds to an X value (i.e., a raw data score) that is above the mean. True or false?TrueFalseA z-score transformation is a useful statistical tool because it enables statisticians to _____:determine which scores are the best scores in a distributioncompare two or more distributions' skewnessmore easily determine the highest and lowest scores in a distributioncompare and interpret scores from virtually any distributionAssume that the µ (population mean) for a test was 50 and the σ (population standard deviation) was 4.5. Lisa scored 56 on the test, Jill had a z-score of +1.5, and Ellianna scored at the 75th percentile. Who did the best on the test (in other words, who had the highest score)? JillLisaElliannaThe performance of all three was identicalA distribution of z-scores always has a mean of _____ and a standard deviation of _____. 0, 11, 01, 10, 0Which of the following is the best interpretation of what the 65th percentile of a distribution means?65% of the scores fall equal to or above the 65th percentile65% of the scores fall equal to or below the 65th percentile65% of the scores are equal to, or fall at, the 65th percentile65% of the scores fall at the 65th percentile about 65% of the timeWhich of the following sets of correlations correctly orders the highest to lowest degree of relationship between two variables (i.e., the highest degree of relationship between two variables to the lowest degree of relationship between two variables)? -0.96, +0.72, +0.10, -0.03-0.03, +0.10, +0.72, -0.96+0.72, -0.96, +0.10, -0.03+0.72, +0.10, -0.03, -0.96Suppose a correlation between height (X) and weight (Y) for adults is +0.89. What percentage of the variability in the data is due to the relationship between height and weight? 89%67%79%25%We know that college GPA is positively correlated with salary after college. If we use knowledge of a student's GPA to predict his or her salary, the predictor variable is _______ and the criterion variable is _______. GPA; salarysalary; GPAsalary; the correlation between GPA and salaryGPA; the correlation between GPA and salaryThe following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8What is COVxy (the covariance)? -1.70+1.70-2.30+2.30-3.22+3.22The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is Sy (the standard deviation of Y)? In other words, the square root of the variance of the Y variable. 0.310.554.4419.670.4970.70The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 The Pearson Correlation Coefficient (r) is: r = -0.90r = +0.90r = +0.79r = -0.79r = -0.95r = +0.95The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is the slope (b)? -0.01-2.304.44-0.1419.673.22The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is the y-intercept (a) for this data?6.056.677.958.3357.905.49The following data have to do with the relationship between maternal smoking (# of cigarettes smoked per day,which is variable X) and infant birth weight (which is variable Y). (∑X, ∑X2, ∑Y, ∑Y2, and ∑XY have already beencalculated for you and are shown below in red font.)Cigarettes Per Day (X) X2 Infant Birth Weight (Y) Y2 XY2 4 7.5 56.25 15.06 36 7.2 51.84 43.210 100 6.9 47.61 69.012 144 6.2 38.44 74.414 196 5.8 33.64 81.2∑X = 44 ∑X2 = 480 ∑Y = 33.6 ∑Y2 = 227.78 ∑XY = 282.8 What is the regression equation for this data?ŷ = 7.85X + (-0.12)ŷ = 8.33X + (-2.30)ŷ = 4.44X + 8.33ŷ = -0.12X + 7.85ŷ = -0.14X + 7.95ŷ = 5.49X + (-0.14)A psychologist studied self-esteem scores and found the sample data set of 57 people to be normally distributed, with a mean of 105 and a standard deviation of 6. What is the median of this distribution? 657105The median cannot be determined from the limited information given INSTRUCTIONS FOR THE following questions belowIf the question requires computation, do the calculations and then give or select the correct values using the following rule:Keep at least 4 decimal places at intermediate steps of a calculation, and round your final answer to 2 decimal places, unless otherwise noted. For example: 16.6667 would become 16.67 after roundingA survey of Ohio University students was conducted to determine if there was a particular Green that was desired by students to live on. A sample of students responses are reproduced below. Do students prefer a particular Green? Use critical value = 5.99. Use the numbers below for this question only! West Green South Green East Green 36 57 75 What is the calculated chi-squared value? A survey of Ohio University students was conducted to determine if there was a particular Green that was desired by students to live on. A sample of students responses are reproduced below. Do students prefer a particular Green? Use critical value = 5.99. Use the numbers below for this question only! West Green South Green East Green 26 66 115 What would the expected value for the West Green be? A local sports bar wanted to determine whether Ohio University students prefer a particular type of food in their establishment. A sample of students responses are reproduced below. Do students prefer a particular type of bar food? Use critical value = 6.58. Use the numbers below for this question only! Nachos Pizza Chicken Wings Cheese Sticks 31 40 37 47 What would the expected value for Cheese Sticks be? A local sports bar wanted to determine whether Ohio University students prefer a particular type of food in their establishment. A sample of students responses are reproduced below. Do students prefer a particular type of bar food? Use critical value = 6.58. Use the numbers below for this question only! Nachos Pizza Chicken Wings Cheese Sticks 40 37 39 44 What is the calculated chi-squared value? Using a critical value of 6.58, was there a significant preference for what students eat in a sports bar based on the obtained chi-square value in Question 5? Yes NoIn a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Binge Drinking? YES NO Male 215 270 Female 216 235 What would the expected value for the "male-yes" cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Binge Drinking? YES NO Male 256 224 Female 272 235 What would the expected value for the "female-no" cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Test for a relationship in the following data: Use the numbers below for this question only! Binge Drinking? YES NO Male 44 27 Female 24 49 What is the calculated chi-squared value? Using a critical value of 3.84, and based on the obtained chi-square value in Question 9, is there a significant relationship between gender and binge drinking? Yes NoIn a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests.Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 219 278 Female 229 232What would the expected value for the "male-no" cell be?In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 201 235 Female 263 261 What would the expected value for the "female-yes" cell be? In a study of binge drinking among undergraduates at Ohio University, a researcher was interested in gender differences as related to binge drinking and to drinking-related arrests. She wanted to know two things: (a) Is there a significant relationship between gender and binge drinking (as defined by 5 or more drinks at one sitting), and (b) Is there a significant relationship between gender and drinking-related arrests? A random sample of males and females were asked about their experiences with binge drinking and with drinking-related arrests. Test for a relationship in the following data: Use the numbers below for this question only! Experience Alcohol-related Arrest? YES NO Male 45 23 Female 25 51 What is the calculated chi-squared value? Using a critical value of 3.84, and based on the obtained chi-square value in Question 13, is there a significant relationship between gender and alcohol-related arrests? Yes NoWhich of the following is not a true statement about bar graphs?The horizontal axis does not need to be labeled for a bar graph.Bar graphs show percentages or frequencies in various categories.Bar graphs represent categorical data.Pictograms are similar to bar graphs except they use pictures related to the topic.Papa Johns conducted a survey of 100 nursing students taking statistics to determine what toppings they preferred on their pizza. Data handlers converted students' responses into a pie (no pun intended) chart to display the results clearly to upper management. Did the data handlers do a good job in constructing a quality statistical picture? Examine the statistical picture below and if you see a feature that is problematic (e.g., inaccurate or misleading), place your cursor over that feature and click. If you change your mind, click on the clear button on the bottom left and you can begin again. If you decide the statistical picture contains no problematic features, click just above the word "cheese." (Hint: Check out the components of a well-designed statistical picture that are listed on page 7 of the Module 6 course notes, such as appropriate Title, correct Source, etc.)If you are having problems getting your choice to register and save, then you are probably not using the Firefox browser. Switching to the Firefox browser should remedy the problem. If the problem persists, let your moderator know what your choice is BEFORE THE ASSIGNMENT DEADLINE!
Assignment: Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of pub ...
Assignment: Evaluating Significance of Findings
Part of your task as a scholar-practitioner is to act as a critical consumer of research and ask informed questions of published material. Sometimes, claims are made that do not match the results of the analysis. Unfortunately, this is why statistics is sometimes unfairly associated with telling lies. These misalignments might not be solely attributable to statistical nonsense, but also “user error.” One of the greatest areas of user error is within the practice of hypothesis testing and interpreting statistical significance. As you continue to consume research, be sure and read everything with a critical eye and call out statements that do not match the results. For this Assignment, you will examine statistical significance and meaningfulness based on sample statements. Critically evaluate each of the two scenarios (See scenarios below) selected based upon the following points: Critically evaluate the sample size. Critically evaluate the statements for meaningfulness. Critically evaluate the statements for statistical significance. Based on your evaluation, provide an explanation of the implications for social change. Scenario #1 Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very minor difference in attitude between men and women). Were the results meaningful? An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private, and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The cultural competency score ranges from 0 to 10, with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have higher levels of cultural competency (M = 9.2, SD = 3.2) than men (M = 8.9, SD = 2.1). The results were significant t (1311) = 2.0, p <.05, indicating that women are more culturally competent than are men. These results tell us that gender-specific interventions targeted toward men may assist in bolstering cultural competency. Scenario #2 A study has results that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private, and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables, r =.87, p < .01, showing that as level of income increases, job satisfaction increases as well. Use 4 or more references with proper APA format and citations and referencing. Include the reference below. Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications
IRP Research Question and Data Set
Using the attached IRP Template 2018, add the following information to the "Issue Analysis: Data:" section.Your research q ...
IRP Research Question and Data Set
Using the attached IRP Template 2018, add the following information to the "Issue Analysis: Data:" section.Your research question for your IRP. ANOVA example: "Is there a statistically significant difference between these groups (identify the groups) based on this characteristic (identify the characteristic)? Simple Linear Regression (SLR) example: "Is this factor (identify the factor) a statistically significant predictor of a characteristic (identify the characteristic) based on this data sample?The statistical question that you hope to answer by analyzing the data set you picked.ANOVA Example:H0: μ1 = μ2 = ... = μnHA: Not all means are equal (i.e. μ1 ≠ μ2 or μ2 ≠ μ3 ... μ1 ≠ μn)Simple Linear Regression Example:H0: β1 = 0HA: β1 ≠ 0The name, source, and a link to your data set. Also, include the number of records and attributes in the data set. You do not have to use all of the attributes or records in your analysis. Do not submit your data set at this time.Save your file as a PDF file and upload it to this assignment.IRP RQ & DS (1)IRP RQ & DS (1)CriteriaRatingsPtsThis criterion is linked to a Learning OutcomeResearch Question25.0 ptsClearly written.17.0 ptsA research question is provided, but is not clearly written.0.0 ptsNot provided.25.0 ptsThis criterion is linked to a Learning OutcomeStatistical Question25.0 ptsStatistical question aligns with research question.17.0 ptsStatistical question submitted, but does not align with the research question.0.0 ptsNo statistical question provided.25.0 ptsThis criterion is linked to a Learning OutcomeData Source25.0 ptsData set reference information provided.17.0 ptsData set reference information provided, but does not check out.0.0 ptsNo data set reference information provided.25.0 ptsThis criterion is linked to a Learning OutcomeDescription of Data Set25.0 ptsFull Marks13.0 ptsData is somewhat described, but insufficient detail is provided.0.0 ptsData set is not described.25.0 ptsTotal Points: 100.0
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of ho ...
Northern Virginia Community College Discrete Random Variable Statistics Analysis
Think of some discrete random variable you observe on a regular basis. For example, it could be the (rounded) number of hours you sleep, how many gallons of gas are in your car when you get into it, how many boxes of cereal are in your house, how many days between grocery shopping, etc. (just make sure it takes only integer values). Try to list all of the possible values that this discrete random variable can take. If you can, collect some frequency data – give the relative frequency table and use this as an estimate of the probability distribution. Calculate the expected value and the standard deviation for this probability distribution. Interpret these parameters, and discuss whether they make sense based on your experience.
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month th ...
SU Mathematics Probability & True and False Questions
1. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that an employee will have less than 20 minutes of unused sick time?2. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. Based on this information, what is the probability that three randomly chosen employees have over 400 unused sick minutes at the end of the year?3. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over 400 minutes of sick leave at the end of the year. What percentage of employees could expect a cash payment?4. Employees at a large computer company earn sick leave in one-minute increments depending on how many hours per month they work. They can then use the sick leave time any time throughout the year. Any unused time goes into a sick bank account that they or other employees can use in the case of emergencies. The human resources department has determined that the amount of unused sick time for individual employees is uniformly distributed between 0 and 480 minutes. The company has decided to give a cash payment to any employee that returns over a specified amount of sick leave minutes. Assuming that the company wishes no more than 5 percent of all employees to get a cash payment, what should the required number of minutes be?5. Suppose the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that a customer is served in less than 3 minutes is 0.6. If the time it takes for a customer to be served at a fast-food chain business is thought to be uniformly distributed between 3 and 8 minutes, then the probability that the time it takes for a randomly selected customer to be served will be less than 5 minutes is 0.40.7. If a uniform distribution and normal distribution both have the same mean and the same range, the normal distribution will have a larger standard deviation than the uniform distribution8. It has been determined the weight of bricks made by the Dillenger Stone Company is uniformly distributed between 1 and 1.5 pounds. Based on this information, the probability that two randomly selected bricks will each weigh more than 1.3 pounds is 0.16.9. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. Based on this, the probability that a part selected will not be dry is approximately 0.33.10. The amount of drying time for the paint applied to a plastic component part is thought to be uniformly distributed between 30 and 60 minutes. Currently, the automated process selects the part from the drying bin after the part has been there for 50 minutes. The probability that none of three parts picked are still wet when they are selected is approximately 0.04.
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20210128002212math265 Course Project Part A 1
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is In this circu ...
20210128002212math265 Course Project Part A 1
In this part of the project, you will be modelling the behavior of a resistor-capacitor (RC) circuit that is In this circuit, initially, the capacitor ...
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