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Application Of Statistics In Health Care
Statistics plays a significant role in medical research. The objective is to arrive at conclusion based on facts and findi ...
Application Of Statistics In Health Care
Statistics plays a significant role in medical research. The objective is to arrive at conclusion based on facts and findings, and research-based ...
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of ...
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of interest. In practice, a larger sample is often surveyed, and then focus groups or interviews can be conducted with a smaller subset of the sample. The quantitative survey data from a larger group helps to identify health-related trends and patterns within the sample group. The qualitative data collected with the smaller group complements the quantitative survey data and helps to determine why and how a phenomenon exists. The cumulative findings can then help public health professionals form a conclusion about the health issue and inform future public health research, policy, and practice.The purpose of this assignment is to analyze qualitative and quantitative data from two separate groups, propose a research question, and then disseminate your findings in a mixed-methods manuscript. The survey and focus group are both on the topic of nutrition. The quantitative data is adapted from the Youth Risk Behavior Surveillance System (YRBSS), and the qualitative data is from a focus group transcript in which 9th grade girls discussed healthy eating.For this assignment, you will use:IBM SPSS Statistics and the "Youth Risk Behavior Surveillance System Dataset" to conduct a basic quantitative statistical analysis.The "9th Grade Girls Healthy Food Focus Group Transcription" to conduct a qualitative analysis and identify key themes.Part 1: Analyzing DataUsing the resources indicated above, conduct the following analyses and record the results on the "Results and Outputs" template. Attach this document as an Appendix in your paper.Qualitative Analysis: Read the "9th Grade Girls Healthy Food Focus Group Transcription." This transcript is from a focus group of 9th grade girls discussing healthy eating with the moderator. Generate codes and summarize the qualitative data.Quantitative Analysis:Review the "Youth Risk Behavior Surveillance System Dataset." Identify two or three variables of interest and identify a study topic for your paper. Conduct a literature search for three to five peer-reviewed articles from the last 5 years that have studies supporting your topic. Develop a research question for your study based on the selected variables. The research question should demonstrate support for the focus group results and should be supported by existing literature.Prepare the data to complete the analysis based on your research question.Using SPSS, conduct descriptive statistics to summarize the sample.Using SPSS, select an appropriate quantitative inferential statistical test to analyze the data.Part 2: Reporting DataPrepare a 1,250-1,500 word manuscript to disseminate the findings of your proposed study. The study should be based on your proposed research question and supported by the findings from the qualitative and quantitative analyses above, as well as by current literature. Include the following:AbstractA 150-250 word summary of the manuscript.IntroductionSummarize the purpose of the research, the problem being addressed, and your proposed research question.Support your summary using three to five peer-reviewed articles from the last 5 years that are relevant to your topic and that support why the study is being conducted.MethodsQualitative Methods (Focus Group)Describe the focus group sample and data collection process.Describe the process used to analyze the qualitative data.Quantitative Methods (YRBSS Survey)Discuss how the data were collected.Identify and describe the variables used in the analysis.Describe the descriptive and inferential statistical tests that were conducted.Identify the software that was used to conduct the analysis.ResultsQualitative Results (Focus Group)Summarize the results of the qualitative analysis from the "9th Grade Girls Healthy Food Focus Group Transcription."Quantitative Results (YRBSS Survey)Summarize the sample using the results of the descriptive statistics.Describe the main outcomes of the inferential statistical analysis.Include at least one table or figure to support the results.DiscussionInterpret the study results in relation to the related literature and study purpose.Discuss the study limitations.Based on the interpreted results of the study, provide recommendations for future public health research, policy, or practice.Appendix"Results and Outputs" analysis document.General RequirementsYou are required to cite to a minimum of three sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and public health content.Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.Benchmark InformationThis benchmark assignment assesses the following programmatic competencies:Master Public Health2.2: Select quantitative and qualitative data collection methods appropriate for a given public health context.2.3: Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming, and software, as appropriate.2.4: Interpret results of data analysis for public health research, policy, or practice.MSN Public Health Nursing6.3: Interpret results of data analysis for public health research, policy, or practice.
5 pages
Question And Answers
1. Which answer shows the best estimate for the solution to the system of equations in the graph below? 2. Which of the fo ...
Question And Answers
1. Which answer shows the best estimate for the solution to the system of equations in the graph below? 2. Which of the following systems is in ...
SU Wk 5 Central Limit Theorem Quantitative Data in Math Exams Worksheet
Discussion C: Central Limit TheoremWeek 5 Post (300+ words):Collect some quantitative data (if your data from week 1 is qu ...
SU Wk 5 Central Limit Theorem Quantitative Data in Math Exams Worksheet
Discussion C: Central Limit TheoremWeek 5 Post (300+ words):Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?Week 6 Responses (100+ words x2):Choose two of your classmates’ data sets. Take 30 random samples of 5 data points each (one way: Past the data here http://www.randomizelist.com/ randomize the list and take the first 5 numbers, or use the sampling feature at http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html), and calculate the average for each of these samples. You will now have 30 sample means. Create and post a histogram for your sample means. What is the mean of these means? What is the standard deviation? Does this make sense based on the Central Limit Theorem? Do the sample means follow a normal distribution? What p-value does the normality test give? How and why does this differ from the original data?REPLY MY CLASSMATE: Jasmine AliceaThe quantitative data I chose to use was the number hours I slept on an average week, as discussed from my previous post. Finding the mean (or average) of my numbers, simply list all variables in ascending order à 6.5,7,7,7,7.5,8,9. Add all the variable to equal one sum (=52). Then divide by the number of numbers presented. 52/7= 7.428. We want to present the sum to the nearest hundredth; to do so, we need to round up (7.43). To find the median, we need find the middle number between all variables. Fortunately, I have 7 variables and can find the median between the first three numbers and last three numbers (7).Standard DeviationEquation for standard Deviation for sample is as follows:Sample Deviationà Sample(x)=n−1∑∣x−xˉ∣2 = Square root of unbiased sample variancePopulation Deviation equationà σ=N∑(xi−μ)2∑= “sum of”X= is a value in the data setμ=is the mean of the data setN= is the number of data points in the population (not used for this week’s discussion N-1= is used for dealing with a sample variable. (we are using in this week’s discussion)To find the sample subtract the variable by the mean times square- Add them together and then divide by mean.S-(squared)(6.5-7) sq+(7-7)sq+(7-7)sq+(7-7)sq+(7.5-7)sq+(8-7)sq+(9-7)sq7-1n-1 (mean)0.25+0+0+0.25+1+4= 5.5/6= à0.93 Unbiased sample varianceS= sq root of unbiased sample variance à 0.93 squared = 0.86 Sample standard deviationFrequency Histogram4321>=0 2 4 6 8 10I’m not sure if the histogram follows the bell curve of a normal distribution, as I am still trying to see how all the different representations equal the original data; hours I sleep per week. If I am analyzing it visually, I can see how the average time in hours I sleep will be 7, as the spike in the bell curve is narrow and in between 6-9. It does represent a normative distribution.The deviation from the curve is skewed to the right. If my calculations are correct, I sleep on average 7 hours and 45mins but on a good night’s rest 8 ½ hours, and a not-so-great night, 6 hours.The Shapiro-Wilk test is usually recommended for data with <10 variables. It provides a Null Hypothesis (sample size of n comes from a normal distribution).Results: Shapiro-Wilk Normality Testn = 7Mean = 7.428571428571428SD = 0.8380817098475258W = 0.885157374718934Threshold (p=0.01) = 0.7300000190734863 --> HO acceptedThreshold (p=0.05) = 0.8029999732971191 --> HO acceptedThreshold (p=0.10) = 0.8379999995231628 --> HO accepted--> “Your data seems normal”REPLY TO MY CLASSMATE:Tabitha ThuguriThe central limit theorem states that the sampling distribution of any statistic will be normal or nearly normal, if the sample size is large enough. Requirements for accuracy.The more closely the sampling distribution needs to resemble a normal distribution, the more sample points will be required. Requirements for accuracy.The more closely the sampling distribution needs to resemble a normal distribution, the more sample points will be required.
Statistics
STAT 200 Week 3 Homework Problems 4.1.4 A project conducted by the Australian Federal Office of Road Safety asked people ...
Statistics
STAT 200 Week 3 Homework Problems 4.1.4 A project conducted by the Australian Federal Office of Road Safety asked people many questions about their cars.One question was the reason that a person chooses a given car, and that data is in table #4.1.4 ("Car preferences," 2013). Table #4.1.4: Reason for Choosing a Car Safety Reliability Cost Performance Comfort Looks 84 62 46 34 47 27 Find the probability a person chooses a car for each of the given reasons. 4.2.2 Eyeglassomatic manufactures eyeglasses for different retailers.They test to see how many defective lenses they made in a time period.Table #4.2.2 gives the defect and the number of defects. Table #4.2.2: Number of Defective Lenses Defect type Number of defects Scratch 5865 Right shaped – small 4613 Flaked 1992 Wrong axis 1838 Chamfer wrong 1596 Crazing, cracks 1546 Wrong shape 1485 Wrong PD 1398 Spots and bubbles 1371 Wrong height 1130 Right shape – big 1105 Lost in lab 976 Spots/bubble – intern 976 Find the probability of picking a lens that is scratched or flaked.Find the probability of picking a lens that is the wrong PD or was lost in lab.Find the probability of picking a lens that is not scratched.Find the probability of picking a lens that is not the wrong shape. 4.2.8 In the game of roulette, there is a wheel with spaces marked 0 through 36 and a space marked 00. Find the probability of winning if you pick the number 7 and it comes up on the wheel.Find the odds against winning if you pick the number 7.The casino will pay you $20 for every dollar you bet if your number comes up.How much profit is the casino making on the bet? 4.4.6 Find 4.4.12 How many ways can you choose seven people from a group of twenty? 5.1.2 Suppose you have an experiment where you flip a coin three times.You then count the number of heads. a.)State the random variable. b.)Write the probability distribution for the number of heads. c.)Draw a histogram for the number of heads. d.)Find the mean number of heads. e.)Find the variance for the number of heads. f.)Find the standard deviation for the number of heads. g.)Find the probability of having two or more number of heads. h.)Is it unusual to flip two heads? 5.1.4 An LG Dishwasher, which costs $800, has a 20% chance of needing to be replaced in the first 2 years of purchase.A two-year extended warrantee costs $112.10 on a dishwasher.What is the expected value of the extended warranty assuming it is replaced in the first 2 years? 5.2.4 Suppose a random variable, x, arises from a binomial experiment.If n = 6, and p = 0.30, find the following probabilities using technology. a.) b.) c.) d.) e.) f.) 5.2.10 The proportion of brown M&M’s in a milk chocolate packet is approximately 14% (Madison, 2013).Suppose a package of M&M’s typically contains 52 M&M’s. a.)State the random variable. b.)Argue that this is a binomial experiment Find the probability that c.)Six M&M’s are brown. d.)Twenty-five M&M’s are brown. e.)All of the M&M’s are brown. f.)Would it be unusual for a package to have only brown M&M’s?If this were to happen, what would you think is the reason? 5.3.4 Approximately 10% of all people are left-handed.Consider a grouping of fifteen people. a.)State the random variable. b.)Write the probability distribution. c.)Draw a histogram. d.)Describe the shape of the histogram. e.)Find the mean. f.)Find the variance. g.)Find the standard deviation.
Rasmussen College Interpreting a Hypothesis Test for Correlation Paper
Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatte ...
Rasmussen College Interpreting a Hypothesis Test for Correlation Paper
Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet (ATTACHED) that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.So for this one you should have the excel and a powerpoint you create. YOU MUST MEET THE BELOW REQUIREMENTS: All problems are solved correctly. Complete and detailed steps are provided to explain how to solve the problem. Explanations demonstrate a mastery of understanding of the statistical concepts and terminology. All variables, equations, and expressions are properly formatted.
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Application Of Statistics In Health Care
Statistics plays a significant role in medical research. The objective is to arrive at conclusion based on facts and findi ...
Application Of Statistics In Health Care
Statistics plays a significant role in medical research. The objective is to arrive at conclusion based on facts and findings, and research-based ...
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of ...
De La Salle College The Relationship Between Nutrition and Weight Report
In public health, data are often gathered from separate groups in order to describe health-related behavior for a topic of interest. In practice, a larger sample is often surveyed, and then focus groups or interviews can be conducted with a smaller subset of the sample. The quantitative survey data from a larger group helps to identify health-related trends and patterns within the sample group. The qualitative data collected with the smaller group complements the quantitative survey data and helps to determine why and how a phenomenon exists. The cumulative findings can then help public health professionals form a conclusion about the health issue and inform future public health research, policy, and practice.The purpose of this assignment is to analyze qualitative and quantitative data from two separate groups, propose a research question, and then disseminate your findings in a mixed-methods manuscript. The survey and focus group are both on the topic of nutrition. The quantitative data is adapted from the Youth Risk Behavior Surveillance System (YRBSS), and the qualitative data is from a focus group transcript in which 9th grade girls discussed healthy eating.For this assignment, you will use:IBM SPSS Statistics and the "Youth Risk Behavior Surveillance System Dataset" to conduct a basic quantitative statistical analysis.The "9th Grade Girls Healthy Food Focus Group Transcription" to conduct a qualitative analysis and identify key themes.Part 1: Analyzing DataUsing the resources indicated above, conduct the following analyses and record the results on the "Results and Outputs" template. Attach this document as an Appendix in your paper.Qualitative Analysis: Read the "9th Grade Girls Healthy Food Focus Group Transcription." This transcript is from a focus group of 9th grade girls discussing healthy eating with the moderator. Generate codes and summarize the qualitative data.Quantitative Analysis:Review the "Youth Risk Behavior Surveillance System Dataset." Identify two or three variables of interest and identify a study topic for your paper. Conduct a literature search for three to five peer-reviewed articles from the last 5 years that have studies supporting your topic. Develop a research question for your study based on the selected variables. The research question should demonstrate support for the focus group results and should be supported by existing literature.Prepare the data to complete the analysis based on your research question.Using SPSS, conduct descriptive statistics to summarize the sample.Using SPSS, select an appropriate quantitative inferential statistical test to analyze the data.Part 2: Reporting DataPrepare a 1,250-1,500 word manuscript to disseminate the findings of your proposed study. The study should be based on your proposed research question and supported by the findings from the qualitative and quantitative analyses above, as well as by current literature. Include the following:AbstractA 150-250 word summary of the manuscript.IntroductionSummarize the purpose of the research, the problem being addressed, and your proposed research question.Support your summary using three to five peer-reviewed articles from the last 5 years that are relevant to your topic and that support why the study is being conducted.MethodsQualitative Methods (Focus Group)Describe the focus group sample and data collection process.Describe the process used to analyze the qualitative data.Quantitative Methods (YRBSS Survey)Discuss how the data were collected.Identify and describe the variables used in the analysis.Describe the descriptive and inferential statistical tests that were conducted.Identify the software that was used to conduct the analysis.ResultsQualitative Results (Focus Group)Summarize the results of the qualitative analysis from the "9th Grade Girls Healthy Food Focus Group Transcription."Quantitative Results (YRBSS Survey)Summarize the sample using the results of the descriptive statistics.Describe the main outcomes of the inferential statistical analysis.Include at least one table or figure to support the results.DiscussionInterpret the study results in relation to the related literature and study purpose.Discuss the study limitations.Based on the interpreted results of the study, provide recommendations for future public health research, policy, or practice.Appendix"Results and Outputs" analysis document.General RequirementsYou are required to cite to a minimum of three sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the assignment criteria and public health content.Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.Benchmark InformationThis benchmark assignment assesses the following programmatic competencies:Master Public Health2.2: Select quantitative and qualitative data collection methods appropriate for a given public health context.2.3: Analyze quantitative and qualitative data using biostatistics, informatics, computer-based programming, and software, as appropriate.2.4: Interpret results of data analysis for public health research, policy, or practice.MSN Public Health Nursing6.3: Interpret results of data analysis for public health research, policy, or practice.
5 pages
Question And Answers
1. Which answer shows the best estimate for the solution to the system of equations in the graph below? 2. Which of the fo ...
Question And Answers
1. Which answer shows the best estimate for the solution to the system of equations in the graph below? 2. Which of the following systems is in ...
SU Wk 5 Central Limit Theorem Quantitative Data in Math Exams Worksheet
Discussion C: Central Limit TheoremWeek 5 Post (300+ words):Collect some quantitative data (if your data from week 1 is qu ...
SU Wk 5 Central Limit Theorem Quantitative Data in Math Exams Worksheet
Discussion C: Central Limit TheoremWeek 5 Post (300+ words):Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape of the normal curve. How much deviation from the curve is to be expected?Now perform a normality test on your data (Shapiro-Wilk test: http://sdittami.altervista.org/shapirotest/ShapiroTest.html or http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html)– the test will give you a p-value. The higher the p-value, the more closely your data follows the normal distribution. Based on the test, do you think your data could have been drawn from a normal distribution?Week 6 Responses (100+ words x2):Choose two of your classmates’ data sets. Take 30 random samples of 5 data points each (one way: Past the data here http://www.randomizelist.com/ randomize the list and take the first 5 numbers, or use the sampling feature at http://www.brianreedpowers.com/MAT240/stats/descriptiveStats.html), and calculate the average for each of these samples. You will now have 30 sample means. Create and post a histogram for your sample means. What is the mean of these means? What is the standard deviation? Does this make sense based on the Central Limit Theorem? Do the sample means follow a normal distribution? What p-value does the normality test give? How and why does this differ from the original data?REPLY MY CLASSMATE: Jasmine AliceaThe quantitative data I chose to use was the number hours I slept on an average week, as discussed from my previous post. Finding the mean (or average) of my numbers, simply list all variables in ascending order à 6.5,7,7,7,7.5,8,9. Add all the variable to equal one sum (=52). Then divide by the number of numbers presented. 52/7= 7.428. We want to present the sum to the nearest hundredth; to do so, we need to round up (7.43). To find the median, we need find the middle number between all variables. Fortunately, I have 7 variables and can find the median between the first three numbers and last three numbers (7).Standard DeviationEquation for standard Deviation for sample is as follows:Sample Deviationà Sample(x)=n−1∑∣x−xˉ∣2 = Square root of unbiased sample variancePopulation Deviation equationà σ=N∑(xi−μ)2∑= “sum of”X= is a value in the data setμ=is the mean of the data setN= is the number of data points in the population (not used for this week’s discussion N-1= is used for dealing with a sample variable. (we are using in this week’s discussion)To find the sample subtract the variable by the mean times square- Add them together and then divide by mean.S-(squared)(6.5-7) sq+(7-7)sq+(7-7)sq+(7-7)sq+(7.5-7)sq+(8-7)sq+(9-7)sq7-1n-1 (mean)0.25+0+0+0.25+1+4= 5.5/6= à0.93 Unbiased sample varianceS= sq root of unbiased sample variance à 0.93 squared = 0.86 Sample standard deviationFrequency Histogram4321>=0 2 4 6 8 10I’m not sure if the histogram follows the bell curve of a normal distribution, as I am still trying to see how all the different representations equal the original data; hours I sleep per week. If I am analyzing it visually, I can see how the average time in hours I sleep will be 7, as the spike in the bell curve is narrow and in between 6-9. It does represent a normative distribution.The deviation from the curve is skewed to the right. If my calculations are correct, I sleep on average 7 hours and 45mins but on a good night’s rest 8 ½ hours, and a not-so-great night, 6 hours.The Shapiro-Wilk test is usually recommended for data with <10 variables. It provides a Null Hypothesis (sample size of n comes from a normal distribution).Results: Shapiro-Wilk Normality Testn = 7Mean = 7.428571428571428SD = 0.8380817098475258W = 0.885157374718934Threshold (p=0.01) = 0.7300000190734863 --> HO acceptedThreshold (p=0.05) = 0.8029999732971191 --> HO acceptedThreshold (p=0.10) = 0.8379999995231628 --> HO accepted--> “Your data seems normal”REPLY TO MY CLASSMATE:Tabitha ThuguriThe central limit theorem states that the sampling distribution of any statistic will be normal or nearly normal, if the sample size is large enough. Requirements for accuracy.The more closely the sampling distribution needs to resemble a normal distribution, the more sample points will be required. Requirements for accuracy.The more closely the sampling distribution needs to resemble a normal distribution, the more sample points will be required.
Statistics
STAT 200 Week 3 Homework Problems 4.1.4 A project conducted by the Australian Federal Office of Road Safety asked people ...
Statistics
STAT 200 Week 3 Homework Problems 4.1.4 A project conducted by the Australian Federal Office of Road Safety asked people many questions about their cars.One question was the reason that a person chooses a given car, and that data is in table #4.1.4 ("Car preferences," 2013). Table #4.1.4: Reason for Choosing a Car Safety Reliability Cost Performance Comfort Looks 84 62 46 34 47 27 Find the probability a person chooses a car for each of the given reasons. 4.2.2 Eyeglassomatic manufactures eyeglasses for different retailers.They test to see how many defective lenses they made in a time period.Table #4.2.2 gives the defect and the number of defects. Table #4.2.2: Number of Defective Lenses Defect type Number of defects Scratch 5865 Right shaped – small 4613 Flaked 1992 Wrong axis 1838 Chamfer wrong 1596 Crazing, cracks 1546 Wrong shape 1485 Wrong PD 1398 Spots and bubbles 1371 Wrong height 1130 Right shape – big 1105 Lost in lab 976 Spots/bubble – intern 976 Find the probability of picking a lens that is scratched or flaked.Find the probability of picking a lens that is the wrong PD or was lost in lab.Find the probability of picking a lens that is not scratched.Find the probability of picking a lens that is not the wrong shape. 4.2.8 In the game of roulette, there is a wheel with spaces marked 0 through 36 and a space marked 00. Find the probability of winning if you pick the number 7 and it comes up on the wheel.Find the odds against winning if you pick the number 7.The casino will pay you $20 for every dollar you bet if your number comes up.How much profit is the casino making on the bet? 4.4.6 Find 4.4.12 How many ways can you choose seven people from a group of twenty? 5.1.2 Suppose you have an experiment where you flip a coin three times.You then count the number of heads. a.)State the random variable. b.)Write the probability distribution for the number of heads. c.)Draw a histogram for the number of heads. d.)Find the mean number of heads. e.)Find the variance for the number of heads. f.)Find the standard deviation for the number of heads. g.)Find the probability of having two or more number of heads. h.)Is it unusual to flip two heads? 5.1.4 An LG Dishwasher, which costs $800, has a 20% chance of needing to be replaced in the first 2 years of purchase.A two-year extended warrantee costs $112.10 on a dishwasher.What is the expected value of the extended warranty assuming it is replaced in the first 2 years? 5.2.4 Suppose a random variable, x, arises from a binomial experiment.If n = 6, and p = 0.30, find the following probabilities using technology. a.) b.) c.) d.) e.) f.) 5.2.10 The proportion of brown M&M’s in a milk chocolate packet is approximately 14% (Madison, 2013).Suppose a package of M&M’s typically contains 52 M&M’s. a.)State the random variable. b.)Argue that this is a binomial experiment Find the probability that c.)Six M&M’s are brown. d.)Twenty-five M&M’s are brown. e.)All of the M&M’s are brown. f.)Would it be unusual for a package to have only brown M&M’s?If this were to happen, what would you think is the reason? 5.3.4 Approximately 10% of all people are left-handed.Consider a grouping of fifteen people. a.)State the random variable. b.)Write the probability distribution. c.)Draw a histogram. d.)Describe the shape of the histogram. e.)Find the mean. f.)Find the variance. g.)Find the standard deviation.
Rasmussen College Interpreting a Hypothesis Test for Correlation Paper
Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatte ...
Rasmussen College Interpreting a Hypothesis Test for Correlation Paper
Determine and interpret the linear correlation coefficient, and use linear regression to find a best fit line for a scatter plot of the data and make predictions.ScenarioAccording to the U.S. Geological Survey (USGS), the probability of a magnitude 6.7 or greater earthquake in the Greater Bay Area is 63%, about 2 out of 3, in the next 30 years. In April 2008, scientists and engineers released a new earthquake forecast for the State of California called the Uniform California Earthquake Rupture Forecast (UCERF).As a junior analyst at the USGS, you are tasked to determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and depths from the earthquakes. Your deliverables will be a PowerPoint presentation you will create summarizing your findings and an excel document to show your work.Concepts Being StudiedCorrelation and regressionCreating scatterplotsConstructing and interpreting a Hypothesis Test for Correlation using r as the test statisticYou are given a spreadsheet (ATTACHED) that contains the following information:Magnitude measured on the Richter scaleDepth in kmUsing the spreadsheet, you will answer the problems below in a PowerPoint presentation.What to SubmitThe PowerPoint presentation should answer and explain the following questions based on the spreadsheet provided above.Slide 1: Title slideSlide 2: Introduce your scenario and data set including the variables provided.Slide 3: Construct a scatterplot of the two variables provided in the spreadsheet. Include a description of what you see in the scatterplot.Slide 4: Find the value of the linear correlation coefficient r and the critical value of r using α = 0.05. Include an explanation on how you found those values.Slide 5: Determine whether there is sufficient evidence to support the claim of a linear correlation between the magnitudes and the depths from the earthquakes. Explain.Slide 6: Find the regression equation. Let the predictor (x) variable be the magnitude. Identify the slope and the y-intercept within your regression equation.Slide 7: Is the equation a good model? Explain. What would be the best predicted depth of an earthquake with a magnitude of 2.0? Include the correct units.Slide 8: Conclude by recapping your ideas by summarizing the information presented in context of the scenario.Along with your PowerPoint presentation, you should include your Excel document which shows all calculations.So for this one you should have the excel and a powerpoint you create. YOU MUST MEET THE BELOW REQUIREMENTS: All problems are solved correctly. Complete and detailed steps are provided to explain how to solve the problem. Explanations demonstrate a mastery of understanding of the statistical concepts and terminology. All variables, equations, and expressions are properly formatted.
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