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MATHCBA45 Rasmussen Probabilities Math Problems and Expected Value Quiz
In a game between two teams A and B, John is set to win 200 dollars if A wins, and 100 dollars if B
MATHCBA45 Rasmussen Probabilities Math Problems and Expected Value Quiz
In a game between two teams A and B, John is set to win 200 dollars if A wins, and 100 dollars if B
I need help with an assignment for my advance business statistics
CASE 2 Presenting Statistical DataYou can find the instructions in the chapter. See Chapter 2 case 2 pp. 46-47
I need help with an assignment for my advance business statistics
CASE 2 Presenting Statistical DataYou can find the instructions in the chapter. See Chapter 2 case 2 pp. 46-47
Northern Star Online Bivariate Data Finding Best Fit Lines Problems Response
Please complete entire assignment. Show work when applicable. Finding Best-Fit Lines - Flashlight Exercise ...
Northern Star Online Bivariate Data Finding Best Fit Lines Problems Response
Please complete entire assignment. Show work when applicable. Finding Best-Fit Lines - Flashlight Exercise 1. Plot your data in your calculator & make it appear on the screen 2. STAT--> CALC--> #4 LinReg(ax+b) Y1 3.Write down the equation for your best-fit line (y = mx + b) 4. Use your graph to answer questions. BACKGROUND: A local flashlight maker has hired you to do some research regarding their latest flashlight.The company hiring you has already fired one consultant firm due to their inaccuracies.After researching past mistakes, you realize that it is very important to take accurate measurements, follow directions, and hold the flashlight perpendicular to the table when taking measurements.Good Luck! GATHERING DATA: You are to gather 6 data points that compare the distance from the table to the width (diameter)
of the circular light ring that the flashlight gives off. Make each measurement accurately to the
nearest 0.1cm and record your data below (as decimals, in centimeters). The flashlight should never be more than 8cm
away from the table. HEIGHT: ______ ______ ______ ______ ______ ______WIDTH: ______ ______ ______ ______ ______ ______ Plotting your Data and Analyzing a pattern: 1. Accurately plot each of your data points onto a graph2. Plot the points on your calculator and use the appropriate ZOOM feature to make your data visible.3. Use the STAT--> CALC--> LinReg(ax+b) process to find the equation for your best-fit line.4. What is the equation for your best fit line? (do not round) ____________________________________5. You should know that the ‘x’ in your equation represents the height the flashlight is from the table and that the ‘y’ in your equation represents the width of the circular light on the table.6. Use your best-fit line equation to predict the width of the circular light region if you held the flashlight 25cm from the table. Show how you find your prediction.7. Use your best-fit line to predict how far away a flashlight is from a table if the width of the ring is 30cm. Show how you find your prediction.Hint: The graph shows "distance" horizontally across the bottom of the graph (1, 2, 3, 4, 5, 6, 7). The graph shows "width" vertically up the right side of the graph (2, 4, 6, 8,10,12,14). You may change the scale on the y-axis if you need, just be sure to re-label the axis if you do!Best-Fit Equation: ________________________ •
Sketch the
best-fit line on a graph like described above. •
What is the
slope of the best-fit line? Slope = _______________________________ •
What does
that slope tell you about the flashlight?
__________________________ _____________________________________________________________________ _____________________________________________________________________ •
What is the
y-intercept of the best-fit line?
y-intercept = _____________________ •
What does
the y-intercept tell you about the flashlight? ______________________
_____________________________________________________________________
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is wo ...
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is worth examining further. During Week 5, we studied tests of significance. In this week's discussion, we will apply these tests of significance to our project variables. We will also run measures of association to determine the strength and direction of the relationship between our variables. As we discussed previously, the levels of measurement of our variables determine which test of significance works for the research project. Here is the guideline: 1. Before-and-after design and the DV is at I/R level: Dependent Sample T-test2. DV and IV are BOTH categorical variables (nominal/ordinal): Chi-square*Special note for Chi-square: you should have less than 20% of the cells with an expected count of 5 or less. This information is reported automatically, right below the chi-square output table. If your chi-square test fails to meet this requirement, it is necessary to use "recoding" to combining certain answer categories together so the expected counts would increase. 3. DV and IV are both continuous (interval/ratio) variables: regression4. Comparison of groups (when IV is categorical - nominal/ordinal and DV is continuous - interval/ratio): a. Between 2 groups: Independent Sample T-test b. Among 3 or more groups: ANOVAWhy do we need to run tests of significance?They allow us to see if our relationship is "statistically significant." To be more specific, these tests tell us if a relationship observed in a sample, like your research project based on GSS 2016 data set, is generalizable to the population from which this sample was drawn (US adults).Test results reported under "p" in the SPSS output tells us the chances that a relationship observed in the sample is not real, but rather due to factors like a sampling error. We compare this "chance" with level of significance, commonly set as .05 or .01. If this chance is smaller than level of significance, we can reject the null hypothesis, and keep the research hypothesis.Next, we'll use tests of "measures of association" to figure out the exact strength of a relationship between two variables. In addition, we'll learn how to interpret SPSS outputs for measures of association tests such as lambda, gamma, and Pearson's r, along with other possible tests. These tests are also specific to the level of measurement of your variables. Here are the guidelines:Both DV and IV are nominal variables: Lambda (when it is not a 2X2 table)If it is a 2X2 table: PhiBoth DV and IV are ordinal variables: GammaOne variable ordinal AND the other variable dichotomous nominal (like Yes/No, male/female, etc.): GammaOne variable ordinal AND the other variable nominal (not dichotomous, has more than 2 categories): Cramer's V.Both DV and IV are I/R variables: Pearson's rTo interpret the output, see attached handout. Keep in mind measures of association is a statistical procedure based on Proportional Reduction of Error (PRE). Thus the format of interpretation will be: Knowing the IV will reduce error in predicting the DV by *%. Please note: Don't just say "IV" and "DV" in your explanation. You need to enter your variables names for IV and DV, and replace * for the exact test value from the output. If the value of Lambda is .34, then it will be interpreted as 34%.****Ok, now it is time for you to try! For this week's discussion, be sure to perform the correct test of significance (choose one) and measure of association (choose one) on your variables for the final project. You can download the class handout attached at the bottom of the page.This week in the discussion:I. You will decide which test of significance you will use for your project. Use the guideline above to make your choice.II. You will use the process for hypothesis testing which outlines five steps:Write your research hypothesis (H1) and your null hypothesis (H0).Identify and record your level of significance (alpha): either .05 or .01.Complete the significance test using SPSS. (Include the output of the analysis (table) in your post.)Identify the number under Sig. (2-tail). This will be represented by "p." Compare the numbers in steps 2 (alpha) and 4 (p) and apply the following rule:If p < or = alpha, than you reject the null hypothesisDetermine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain what that means to your research.III. You will decide which measure of association you will use for your project. Use the guideline above to make your choice. Include the output (table) in your post. Based on the output, describe the strength and direction of the relationship between the variables. Also explain the PRE.**** I have attached information about my variables "satjob1 and happy". the gss 2018 spreadsheet that contains both my variables and a helpful handout from class.
QMB3200 St. Petersburg Hypothesis Testing for the Population Mean Report
I need help with answering the questions. On the third tab is where the answers are input. Some questions have a drop down ...
QMB3200 St. Petersburg Hypothesis Testing for the Population Mean Report
I need help with answering the questions. On the third tab is where the answers are input. Some questions have a drop down menu to choose from!!Second tab is the data, and first tab is the instructions. QMB3200 Quantitative Methods for Business
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned ...
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned lies, and statistics." One problem is that data can be misleading if not presented in a clear and sound manner. How many times have you heard that you should stop eating something or start eating something to better your health? Ever wonder what data supports these claims? Wouldn't it be nice to be able to understand if something has significant enough impact to consider including in your life? This module provides you some of the tools needed to better understand data and what they really mean. Let's take a look at a real life, aviation example. The FAA has claimed that runway incursions, an incident when an aircraft or vehicle is on a runway when it is not supposed to be, have been decreasing over the past few years. During this period, the FAA has spent millions of dollars on different systems designed to help reduce these incursions, which the administration claims have been successful in mitigating. Read the FAA Runway Safety Report (Links to an external site.)Links to an external site., with particular attention to page 24. Using what you have learned in the readings, discuss whether or not you believe the data indicates an actual or significant reduction in incursions. What would you recommend to augment the FAA report from a data analysis standpoint? Why do you believe this addition is relevant? https://www.faa.gov/airports/runway_safety/publications/media/Runway-Safety-Report-2013-14.pdf
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6 pages
MATHCBA45 Rasmussen Probabilities Math Problems and Expected Value Quiz
In a game between two teams A and B, John is set to win 200 dollars if A wins, and 100 dollars if B
MATHCBA45 Rasmussen Probabilities Math Problems and Expected Value Quiz
In a game between two teams A and B, John is set to win 200 dollars if A wins, and 100 dollars if B
I need help with an assignment for my advance business statistics
CASE 2 Presenting Statistical DataYou can find the instructions in the chapter. See Chapter 2 case 2 pp. 46-47
I need help with an assignment for my advance business statistics
CASE 2 Presenting Statistical DataYou can find the instructions in the chapter. See Chapter 2 case 2 pp. 46-47
Northern Star Online Bivariate Data Finding Best Fit Lines Problems Response
Please complete entire assignment. Show work when applicable. Finding Best-Fit Lines - Flashlight Exercise ...
Northern Star Online Bivariate Data Finding Best Fit Lines Problems Response
Please complete entire assignment. Show work when applicable. Finding Best-Fit Lines - Flashlight Exercise 1. Plot your data in your calculator & make it appear on the screen 2. STAT--> CALC--> #4 LinReg(ax+b) Y1 3.Write down the equation for your best-fit line (y = mx + b) 4. Use your graph to answer questions. BACKGROUND: A local flashlight maker has hired you to do some research regarding their latest flashlight.The company hiring you has already fired one consultant firm due to their inaccuracies.After researching past mistakes, you realize that it is very important to take accurate measurements, follow directions, and hold the flashlight perpendicular to the table when taking measurements.Good Luck! GATHERING DATA: You are to gather 6 data points that compare the distance from the table to the width (diameter)
of the circular light ring that the flashlight gives off. Make each measurement accurately to the
nearest 0.1cm and record your data below (as decimals, in centimeters). The flashlight should never be more than 8cm
away from the table. HEIGHT: ______ ______ ______ ______ ______ ______WIDTH: ______ ______ ______ ______ ______ ______ Plotting your Data and Analyzing a pattern: 1. Accurately plot each of your data points onto a graph2. Plot the points on your calculator and use the appropriate ZOOM feature to make your data visible.3. Use the STAT--> CALC--> LinReg(ax+b) process to find the equation for your best-fit line.4. What is the equation for your best fit line? (do not round) ____________________________________5. You should know that the ‘x’ in your equation represents the height the flashlight is from the table and that the ‘y’ in your equation represents the width of the circular light on the table.6. Use your best-fit line equation to predict the width of the circular light region if you held the flashlight 25cm from the table. Show how you find your prediction.7. Use your best-fit line to predict how far away a flashlight is from a table if the width of the ring is 30cm. Show how you find your prediction.Hint: The graph shows "distance" horizontally across the bottom of the graph (1, 2, 3, 4, 5, 6, 7). The graph shows "width" vertically up the right side of the graph (2, 4, 6, 8,10,12,14). You may change the scale on the y-axis if you need, just be sure to re-label the axis if you do!Best-Fit Equation: ________________________ •
Sketch the
best-fit line on a graph like described above. •
What is the
slope of the best-fit line? Slope = _______________________________ •
What does
that slope tell you about the flashlight?
__________________________ _____________________________________________________________________ _____________________________________________________________________ •
What is the
y-intercept of the best-fit line?
y-intercept = _____________________ •
What does
the y-intercept tell you about the flashlight? ______________________
_____________________________________________________________________
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is wo ...
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is worth examining further. During Week 5, we studied tests of significance. In this week's discussion, we will apply these tests of significance to our project variables. We will also run measures of association to determine the strength and direction of the relationship between our variables. As we discussed previously, the levels of measurement of our variables determine which test of significance works for the research project. Here is the guideline: 1. Before-and-after design and the DV is at I/R level: Dependent Sample T-test2. DV and IV are BOTH categorical variables (nominal/ordinal): Chi-square*Special note for Chi-square: you should have less than 20% of the cells with an expected count of 5 or less. This information is reported automatically, right below the chi-square output table. If your chi-square test fails to meet this requirement, it is necessary to use "recoding" to combining certain answer categories together so the expected counts would increase. 3. DV and IV are both continuous (interval/ratio) variables: regression4. Comparison of groups (when IV is categorical - nominal/ordinal and DV is continuous - interval/ratio): a. Between 2 groups: Independent Sample T-test b. Among 3 or more groups: ANOVAWhy do we need to run tests of significance?They allow us to see if our relationship is "statistically significant." To be more specific, these tests tell us if a relationship observed in a sample, like your research project based on GSS 2016 data set, is generalizable to the population from which this sample was drawn (US adults).Test results reported under "p" in the SPSS output tells us the chances that a relationship observed in the sample is not real, but rather due to factors like a sampling error. We compare this "chance" with level of significance, commonly set as .05 or .01. If this chance is smaller than level of significance, we can reject the null hypothesis, and keep the research hypothesis.Next, we'll use tests of "measures of association" to figure out the exact strength of a relationship between two variables. In addition, we'll learn how to interpret SPSS outputs for measures of association tests such as lambda, gamma, and Pearson's r, along with other possible tests. These tests are also specific to the level of measurement of your variables. Here are the guidelines:Both DV and IV are nominal variables: Lambda (when it is not a 2X2 table)If it is a 2X2 table: PhiBoth DV and IV are ordinal variables: GammaOne variable ordinal AND the other variable dichotomous nominal (like Yes/No, male/female, etc.): GammaOne variable ordinal AND the other variable nominal (not dichotomous, has more than 2 categories): Cramer's V.Both DV and IV are I/R variables: Pearson's rTo interpret the output, see attached handout. Keep in mind measures of association is a statistical procedure based on Proportional Reduction of Error (PRE). Thus the format of interpretation will be: Knowing the IV will reduce error in predicting the DV by *%. Please note: Don't just say "IV" and "DV" in your explanation. You need to enter your variables names for IV and DV, and replace * for the exact test value from the output. If the value of Lambda is .34, then it will be interpreted as 34%.****Ok, now it is time for you to try! For this week's discussion, be sure to perform the correct test of significance (choose one) and measure of association (choose one) on your variables for the final project. You can download the class handout attached at the bottom of the page.This week in the discussion:I. You will decide which test of significance you will use for your project. Use the guideline above to make your choice.II. You will use the process for hypothesis testing which outlines five steps:Write your research hypothesis (H1) and your null hypothesis (H0).Identify and record your level of significance (alpha): either .05 or .01.Complete the significance test using SPSS. (Include the output of the analysis (table) in your post.)Identify the number under Sig. (2-tail). This will be represented by "p." Compare the numbers in steps 2 (alpha) and 4 (p) and apply the following rule:If p < or = alpha, than you reject the null hypothesisDetermine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain what that means to your research.III. You will decide which measure of association you will use for your project. Use the guideline above to make your choice. Include the output (table) in your post. Based on the output, describe the strength and direction of the relationship between the variables. Also explain the PRE.**** I have attached information about my variables "satjob1 and happy". the gss 2018 spreadsheet that contains both my variables and a helpful handout from class.
QMB3200 St. Petersburg Hypothesis Testing for the Population Mean Report
I need help with answering the questions. On the third tab is where the answers are input. Some questions have a drop down ...
QMB3200 St. Petersburg Hypothesis Testing for the Population Mean Report
I need help with answering the questions. On the third tab is where the answers are input. Some questions have a drop down menu to choose from!!Second tab is the data, and first tab is the instructions. QMB3200 Quantitative Methods for Business
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned ...
discuss whether or not you believe the data indicates an actual or significant reduction in incursions?
19th-century British Prime Minister Benjamin Disraeli is credited with saying "There are three kinds of lies: lies, damned lies, and statistics." One problem is that data can be misleading if not presented in a clear and sound manner. How many times have you heard that you should stop eating something or start eating something to better your health? Ever wonder what data supports these claims? Wouldn't it be nice to be able to understand if something has significant enough impact to consider including in your life? This module provides you some of the tools needed to better understand data and what they really mean. Let's take a look at a real life, aviation example. The FAA has claimed that runway incursions, an incident when an aircraft or vehicle is on a runway when it is not supposed to be, have been decreasing over the past few years. During this period, the FAA has spent millions of dollars on different systems designed to help reduce these incursions, which the administration claims have been successful in mitigating. Read the FAA Runway Safety Report (Links to an external site.)Links to an external site., with particular attention to page 24. Using what you have learned in the readings, discuss whether or not you believe the data indicates an actual or significant reduction in incursions. What would you recommend to augment the FAA report from a data analysis standpoint? Why do you believe this addition is relevant? https://www.faa.gov/airports/runway_safety/publications/media/Runway-Safety-Report-2013-14.pdf
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