Description
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
Explanation & Answer
incosistent is the answer................................................
Completion Status:
100%
Review
Review
Anonymous
Goes above and beyond expectations!
Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
4 pages
Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among t ...
Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among the three diets? If so, which ...
Testing for Bivariate Categorical Analysis, statistics assignment help
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussion ...
Testing for Bivariate Categorical Analysis, statistics assignment help
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussions and hopefully you have received helpful and encouraging feedback from your colleagues. Now, for the last time in the course, it is time once again to put all of that good practice to use and answer a social research question using categorical statistical tools. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are categorical level variables.For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test.To prepare for this Assignment:Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests.Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources.Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test.Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
George Washington University Re Expressing Data to Fit a Linear Model Questions
Book name for the Cours Stats: Data and Models (4th Edition) (Hardcover)by Richard D. De Veaux, Paul F. VellemanQuestion 1 ...
George Washington University Re Expressing Data to Fit a Linear Model Questions
Book name for the Cours Stats: Data and Models (4th Edition) (Hardcover)by Richard D. De Veaux, Paul F. VellemanQuestion 1.Re-expressing Data to Fit a Linear Model Suppose that you have the following data below for x (the independent variable) and y (the response variable):independent.var = c(5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60)response.var = c(16.3, 9.7, 8.1, 4.2, 3.4, 2.9, 2.4, 2.3, 1.9, 1.7, 1.4, 1.3)A) Using a linear model, fit a line to the above data without using a re-expression. Show the fitted line relative to a scatterplot of the data. Comment on what you see in terms of fit, and also calculate and explain the meaning of R2.B) Re-express the data so that you obtain a better linear fit, and explain how and why you chose your re-expression. (NOTE: Only consider re-expressions that change the y-variable (the response variable, for this problem). Also, show the re-expressed fitted line relative to the re-expressed data. Comment on what you see in terms of fit, and also calculate and explain the meaning of R2.Question 2.Simulation – Washington Nationals Win The 2019 World Series. As we all know by now, the Washington Nationals beat the Houston Astros to win the 2019 World Series. However, before the start of that World Series, the Washington Nationals were often cited as having only a 40% chance of winning any particular game against the Astros. So, how rare is what the Nats accomplished by winning the 2019 World Series? Let’s pretend that the World Series has not been played yet. Keep in mind that the World Series is a series of up to 7 games. The winner is determined by whichever teams wins 4 games first. So, the World Series may last only 4 games, or perhaps 5 games, or 6 games, or even 7 games. The World Series is over as soon as one of the teams wins 4 games. Run a simulation using the above information to assess the chances that the Washington Nationals win the World Series. Make sure that you show all of your work, including anything you do in R (e.g., any random numbers you generate and how you use them). In doing so, make sure that you specify how you are modeling the simulation using equally likely random digits, explain what constitutes a trial and its outcome. Run 25 trials, where a single trial is the simulated result of a single completed World Series. Show your results of all 25 trials and the random numbers you used for each trial. Finally, provide the results of your entire simulation – that is, state what your simulated estimate is of the likelihood that the Washington Nationals (the team with the 40% chance of winning any specific game in a series) wins the World Series - and show details of how you got that estimate. Question 3Nutrition Surveys: Eat This, Not That…Oh, Never Mind As mentioned in a very early lecture, one purpose of this course is to allow people to become more informed readers of news articles, and to be able to critically assess and compare different viewpoints. I referred to this as becoming more “numerate.” Nutrition advice seems to be quite inconsistent over time. There are some reasons for this, as the article link below explains. Please carefully read the link below, and then proceed to answer the questions posed. https://slate.com/human-interest/2015/04/nutritional-clinical-trials-vs-observational-studies-for-dietary-recommendations.htmlProvide detailed answers to the three questions below:A) List and explain at least 3 major weaknesses of nutritional studies as cited in the article.B) Suppose that we want to study whether or not a particular food causes a particular health issue. In this example, the health outcome is the response variable. In particular, suppose we want to study whether sugary soft drinks cause obesity in adults over the age of 18. State how you might design an experiment to better determine causality (or not). Be detailed in your design explanation by specifically focusing on the relevant features of Four Principles of Experimental Design in your response (see pages 321-322 of the text). Also, explain how you will measure both the independent and response variables in this experiment.Question 4Probability Rules - Must show all needed steps in getting to your final answer. And, express your final answer as a decimal. A) Assume that for events A and B we have the following: P(A) = .40, P(B|A) = .20, and P(B) = .30. Find P(A or B).B) Suppose that P(A) = .40, P(B) = .30, and P(A and B) = .15. Are A and B independent events? Why or why not?C) Suppose that you are planning to travel a certain air route via plane once each week for your new job. Also, assume that there is a 3% chance that your outbound flight may be cancelled on any given week due to various issues. How many consecutive outbound weekly flights can you fly before the probability of another successful flight (that is, a flight that is not cancelled) drops to 50% or less? D) Suppose that 20% of cars that are inspected have faulty pollution control systems. The cost of repairing a pollution control system exceeds $100 about 40% of the time. When a driver takes her car in for inspection, what is the probability that she will end up paying less than $100 to repair the pollution control system.E) Assume that you are playing a game in which you pull a lever and a light comes on. The light will be either red or green. Assume that on any given pull of the lever, P(Red Light) = .40 and P(Green Light) = .60. Find the probability that in pulling the lever 5 times that you will get your 3rd Green Light on the 5th pull of the lever. F) Suppose in front of you are three boxes that look identical. Further, you are told that one box contains two $1 bills, one contains two $100 bills, and one contains one $1 bill and one $100 bill. You are permitted to choose one box. Then you are asked to remove one bill from the box you chose without looking at the other bill in that box. Suppose that a $100 bill comes out. What is the probability that the other bill in that box is $100?
Capella University Statistics Multiple Choice Sampling Practice Questions
Test Content
An upper-level sociology class ...
Capella University Statistics Multiple Choice Sampling Practice Questions
Test Content
An upper-level sociology class has 120 registered students: 34 seniors, 57 juniors, 22 sophomores, and 7 freshmen. Imagine that you choose one random student from the classroom (perhaps by using a random number table).
Question 1
2.5 Points
What is the probability that the student will be a junior?
0.475
0.57
0.183
0.283
Question 2
2.5 Points
What is the probability that the student will be a freshman?
0.475
0.058
0.283
0.183
Question 3
2.5 Points
If you are asked to select a proportionate stratified sample of size 30 from the classroom, stratified by class level (senior, junior, etc.), how many students from each group will there be in the sample?
About 1 Freshmen, about 4 Sophomores, about 13 Juniors, about 9 Seniors
About 3 Freshmen, about 7 Sophomores, about 15 Juniors, about 8 Seniors
About 2 Freshmen, about 5 Sophomores, about 14 Juniors, about 8 Seniors
About 3 Freshmen, about 7 Sophomores, about 15 Juniors, about 10 Seniors
Question 4
2.5 Points
If you select a disproportionate sample of size 20 from the classroom, with equal numbers of students from each class level in the sample, how many freshmen will be in the sample?
5
7
9
6
Question 5
2.5 Points
When taking a random sample from a very large population, how does the standard error of the mean change when the sample size is increased from 100 to 1,600?
Smaller by a factor of 2
Larger by a factor of 2
Smaller by a factor of 4
Larger by a factor of 4
Question 6
2.5 Points
When taking a random sample from a very large population, how does the standard error of the mean change when the sample size is decreased from 300 to 150?
Decreases by 1.41
Increases by 1.41
Decreases by 0.71
Increases by 0.71
Question 7
2.5 Points
When taking a random sample from a very large population, how does the standard error of the mean change when the sample size is multiplied by 4?
Decreases by a factor of 4
Increases by a factor of 4
Decreases by a factor of 2
Increases by a factor of 2
The following information presents the number of parolees (per 100,000 people) for 12 of the most populous states as of July 2015.State, Parolees (per 100,000 People)California, 292Texas, 556New York, 288Florida, 28Illinois, 299Pennsylvania, 1,035Ohio, 193Georgia, 334Michigan, 239North Carolina, 130New Jersey, 214Virginia, 27Source: National Institute of Corrections, Correction Statistics by State, 2016
Question 8
2.5 Points
Assume that σ = 226.83 for the entire population of 50 states. Calculate and interpret the standard error. (Consider the formula for the standard error. Since we provided the population standard deviation, calculating the standard error requires only minor calculations.) What is the standard error?
68.45
62.35
64.58
65.48
Pre-calculus-Ellipse and Hyperbolas
Only 4 multiple choice questions that I am having trouble with involving Major and minor axis and transverse and conjugate ...
Pre-calculus-Ellipse and Hyperbolas
Only 4 multiple choice questions that I am having trouble with involving Major and minor axis and transverse and conjugate axis
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.
Similar Content
What factors must be assessed when critically appraising quantitative studies in research
What factors must be assessed when critically appraising quantitative studies in research (e.g., validity, reliability, an...
Solve the equation please
Square root x + 1=8...
#36 3.01 questions Precalculus
...
STAT 50 California State University Sacramento Normal Distribution Exam 5
NAME (ALL CAPS): ____________________
EXAM 5
STAT 50
Score out of 20: ____
Show all work to get full credit
For multipl...
MATH 108 WCU Linear Regression Calories Burn Discussion
A Linear Equation is a rule that assigns to each
number x on the x-axis exactly one number y on the
y - axis so that the o...
Algebra help please :)
...
Related Tags
Book Guides
Bridge to Terabithia
by Katherine Paterson
Fast Food Nation
by Eric Schlosser
How to Win at the Sport of Business
by Mark Cuban
Harry Potter and the Sorcerers Stone
by J. K. Rowling
The Subtle Art of Not Giving a F*ck
by Mark Manson
The Point of it All - A Lifetime of Great Loves and Endeavors
by Charles Krauthammer
Unf*ck Yourself
by Gary John Bishop
The Knife of Never Letting Go
by Patrick Ness
Underground A Human History of the Worlds Beneath our Feet
by Will Hunt
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
4 pages
Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among t ...
Statistics
This data set contains information on 78 people using one of three diets. 1. Was there a difference in weight lost among the three diets? If so, which ...
Testing for Bivariate Categorical Analysis, statistics assignment help
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussion ...
Testing for Bivariate Categorical Analysis, statistics assignment help
Assignment: Testing for Bivariate Categorical AnalysisYou have had plenty of practice with data analysis in the Discussions and hopefully you have received helpful and encouraging feedback from your colleagues. Now, for the last time in the course, it is time once again to put all of that good practice to use and answer a social research question using categorical statistical tools. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are categorical level variables.For this Assignment, you will consider three different scenarios. Each of these scenarios include a research question. You will examine each scenario, choose a categorical data analysis and run a sample test.To prepare for this Assignment:Review Chapters 10 and 11 of the Frankfort-Nachmias & Leon-Guerrero course text and the media program found in this week’s Learning Resources related to bivariate categorical tests.Using the SPSS software, open the Afrobarometer dataset found in this week’s Learning Resources.Next, review the Chi Square Scenarios found in this week’s Learning Resources and consider each research scenario for this Assignment.Based on the dataset you chose and for each research scenario provided, using the SPSS software, choose a categorical data analysis and run a sample test.Once you perform your categorical data analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 1- to 2-paragraph analysis of your categorical data results for each research scenario. In your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
George Washington University Re Expressing Data to Fit a Linear Model Questions
Book name for the Cours Stats: Data and Models (4th Edition) (Hardcover)by Richard D. De Veaux, Paul F. VellemanQuestion 1 ...
George Washington University Re Expressing Data to Fit a Linear Model Questions
Book name for the Cours Stats: Data and Models (4th Edition) (Hardcover)by Richard D. De Veaux, Paul F. VellemanQuestion 1.Re-expressing Data to Fit a Linear Model Suppose that you have the following data below for x (the independent variable) and y (the response variable):independent.var = c(5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60)response.var = c(16.3, 9.7, 8.1, 4.2, 3.4, 2.9, 2.4, 2.3, 1.9, 1.7, 1.4, 1.3)A) Using a linear model, fit a line to the above data without using a re-expression. Show the fitted line relative to a scatterplot of the data. Comment on what you see in terms of fit, and also calculate and explain the meaning of R2.B) Re-express the data so that you obtain a better linear fit, and explain how and why you chose your re-expression. (NOTE: Only consider re-expressions that change the y-variable (the response variable, for this problem). Also, show the re-expressed fitted line relative to the re-expressed data. Comment on what you see in terms of fit, and also calculate and explain the meaning of R2.Question 2.Simulation – Washington Nationals Win The 2019 World Series. As we all know by now, the Washington Nationals beat the Houston Astros to win the 2019 World Series. However, before the start of that World Series, the Washington Nationals were often cited as having only a 40% chance of winning any particular game against the Astros. So, how rare is what the Nats accomplished by winning the 2019 World Series? Let’s pretend that the World Series has not been played yet. Keep in mind that the World Series is a series of up to 7 games. The winner is determined by whichever teams wins 4 games first. So, the World Series may last only 4 games, or perhaps 5 games, or 6 games, or even 7 games. The World Series is over as soon as one of the teams wins 4 games. Run a simulation using the above information to assess the chances that the Washington Nationals win the World Series. Make sure that you show all of your work, including anything you do in R (e.g., any random numbers you generate and how you use them). In doing so, make sure that you specify how you are modeling the simulation using equally likely random digits, explain what constitutes a trial and its outcome. Run 25 trials, where a single trial is the simulated result of a single completed World Series. Show your results of all 25 trials and the random numbers you used for each trial. Finally, provide the results of your entire simulation – that is, state what your simulated estimate is of the likelihood that the Washington Nationals (the team with the 40% chance of winning any specific game in a series) wins the World Series - and show details of how you got that estimate. Question 3Nutrition Surveys: Eat This, Not That…Oh, Never Mind As mentioned in a very early lecture, one purpose of this course is to allow people to become more informed readers of news articles, and to be able to critically assess and compare different viewpoints. I referred to this as becoming more “numerate.” Nutrition advice seems to be quite inconsistent over time. There are some reasons for this, as the article link below explains. Please carefully read the link below, and then proceed to answer the questions posed. https://slate.com/human-interest/2015/04/nutritional-clinical-trials-vs-observational-studies-for-dietary-recommendations.htmlProvide detailed answers to the three questions below:A) List and explain at least 3 major weaknesses of nutritional studies as cited in the article.B) Suppose that we want to study whether or not a particular food causes a particular health issue. In this example, the health outcome is the response variable. In particular, suppose we want to study whether sugary soft drinks cause obesity in adults over the age of 18. State how you might design an experiment to better determine causality (or not). Be detailed in your design explanation by specifically focusing on the relevant features of Four Principles of Experimental Design in your response (see pages 321-322 of the text). Also, explain how you will measure both the independent and response variables in this experiment.Question 4Probability Rules - Must show all needed steps in getting to your final answer. And, express your final answer as a decimal. A) Assume that for events A and B we have the following: P(A) = .40, P(B|A) = .20, and P(B) = .30. Find P(A or B).B) Suppose that P(A) = .40, P(B) = .30, and P(A and B) = .15. Are A and B independent events? Why or why not?C) Suppose that you are planning to travel a certain air route via plane once each week for your new job. Also, assume that there is a 3% chance that your outbound flight may be cancelled on any given week due to various issues. How many consecutive outbound weekly flights can you fly before the probability of another successful flight (that is, a flight that is not cancelled) drops to 50% or less? D) Suppose that 20% of cars that are inspected have faulty pollution control systems. The cost of repairing a pollution control system exceeds $100 about 40% of the time. When a driver takes her car in for inspection, what is the probability that she will end up paying less than $100 to repair the pollution control system.E) Assume that you are playing a game in which you pull a lever and a light comes on. The light will be either red or green. Assume that on any given pull of the lever, P(Red Light) = .40 and P(Green Light) = .60. Find the probability that in pulling the lever 5 times that you will get your 3rd Green Light on the 5th pull of the lever. F) Suppose in front of you are three boxes that look identical. Further, you are told that one box contains two $1 bills, one contains two $100 bills, and one contains one $1 bill and one $100 bill. You are permitted to choose one box. Then you are asked to remove one bill from the box you chose without looking at the other bill in that box. Suppose that a $100 bill comes out. What is the probability that the other bill in that box is $100?
Capella University Statistics Multiple Choice Sampling Practice Questions
Test Content
An upper-level sociology class ...
Capella University Statistics Multiple Choice Sampling Practice Questions
Test Content
An upper-level sociology class has 120 registered students: 34 seniors, 57 juniors, 22 sophomores, and 7 freshmen. Imagine that you choose one random student from the classroom (perhaps by using a random number table).
Question 1
2.5 Points
What is the probability that the student will be a junior?
0.475
0.57
0.183
0.283
Question 2
2.5 Points
What is the probability that the student will be a freshman?
0.475
0.058
0.283
0.183
Question 3
2.5 Points
If you are asked to select a proportionate stratified sample of size 30 from the classroom, stratified by class level (senior, junior, etc.), how many students from each group will there be in the sample?
About 1 Freshmen, about 4 Sophomores, about 13 Juniors, about 9 Seniors
About 3 Freshmen, about 7 Sophomores, about 15 Juniors, about 8 Seniors
About 2 Freshmen, about 5 Sophomores, about 14 Juniors, about 8 Seniors
About 3 Freshmen, about 7 Sophomores, about 15 Juniors, about 10 Seniors
Question 4
2.5 Points
If you select a disproportionate sample of size 20 from the classroom, with equal numbers of students from each class level in the sample, how many freshmen will be in the sample?
5
7
9
6
Question 5
2.5 Points
When taking a random sample from a very large population, how does the standard error of the mean change when the sample size is increased from 100 to 1,600?
Smaller by a factor of 2
Larger by a factor of 2
Smaller by a factor of 4
Larger by a factor of 4
Question 6
2.5 Points
When taking a random sample from a very large population, how does the standard error of the mean change when the sample size is decreased from 300 to 150?
Decreases by 1.41
Increases by 1.41
Decreases by 0.71
Increases by 0.71
Question 7
2.5 Points
When taking a random sample from a very large population, how does the standard error of the mean change when the sample size is multiplied by 4?
Decreases by a factor of 4
Increases by a factor of 4
Decreases by a factor of 2
Increases by a factor of 2
The following information presents the number of parolees (per 100,000 people) for 12 of the most populous states as of July 2015.State, Parolees (per 100,000 People)California, 292Texas, 556New York, 288Florida, 28Illinois, 299Pennsylvania, 1,035Ohio, 193Georgia, 334Michigan, 239North Carolina, 130New Jersey, 214Virginia, 27Source: National Institute of Corrections, Correction Statistics by State, 2016
Question 8
2.5 Points
Assume that σ = 226.83 for the entire population of 50 states. Calculate and interpret the standard error. (Consider the formula for the standard error. Since we provided the population standard deviation, calculating the standard error requires only minor calculations.) What is the standard error?
68.45
62.35
64.58
65.48
Pre-calculus-Ellipse and Hyperbolas
Only 4 multiple choice questions that I am having trouble with involving Major and minor axis and transverse and conjugate ...
Pre-calculus-Ellipse and Hyperbolas
Only 4 multiple choice questions that I am having trouble with involving Major and minor axis and transverse and conjugate axis
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, co ...
MAT 243 Correlation Coefficient Discussion
PART 1Use the link in the Jupyter Notebook activity to access your Python script. Once you have made your calculations, complete this discussion. The script will output answers to the questions given below. You must attach your Python script output as an HTML file and respond to the questions below.In this discussion, you will apply the statistical concepts and techniques covered in this week's reading about correlation coefficient and simple linear regression. A car rental company wants to evaluate the premise that heavier cars are less fuel efficient than lighter cars. In other words, the company expects that fuel efficiency (miles per gallon) and weight of the car (often measured in thousands of pounds) are correlated. Performing this analysis will help the company optimize its business model and charge its customers appropriately.In this discussion, you will work with a cars data set that includes two variables:Miles per gallon (coded as mpg in the data set)Weight of the car (coded as wt in the data set)The random sample will be drawn from a CSV file. This data will be unique to you, and therefore your answers will be unique as well. Run Step 1 in the Python script to generate your unique sample data.In your initial post, address the following items:You created a scatterplot of miles per gallon against weight; check to make sure it was included in your attachment. Does the graph show any trend? If yes, is the trend what you expected? Why or why not? See Step 2 in the Python script.What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script.Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model? See Step 4 in the Python script.What is the slope coefficient? Is this coefficient significant at a 5% level of significance (alpha=0.05)? (Hint: Check the P-value, , for weight in the Python output.) See Step 4 in the Python script.In your follow-up posts to other students, review your peers' calculations and provide some analysis and interpretation:How do their plots and correlation coefficients compare with yours?Would you recommend this regression model to the car rental company? Why or why not?Remember to attach your Python output and respond to all questions in your initial and follow-up posts. Be sure to clearly communicate your ideas using appropriate terminology. Finally, be sure to review the Discussion Rubric to understand how you will be graded on this assignment.PART 2 For this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.1.Python Script: To complete the tasks listed below, open the Project Two Jupyter Notebook link in the Assignment Information module. Your project contains the NBA data set and a Jupyter Notebook with your Python scripts. In the notebook, you will find step-by-step instructions and code blocks that will help you complete the following tasks:oHypothesis tests for a population parameter§Hypothesis tests for a population mean§Hypothesis test for a population proportionoHypothesis test for the difference between two population parameters§Hypothesis test for difference between two population means2.Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:oIntroduction: Set the context for your scenario and the analyses you will be performing.oHypothesis tests for the population mean: Discuss all steps of the hypothesis tests and interpret your results.oHypothesis test for the population proportion: Discuss all steps of the hypothesis test and interpret your results.oHypothesis test for the difference between two population means: Discuss all steps of the hypothesis test and interpret your results.oConclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Python ScriptYour Jupyter Notebook Python script contains all the statistical analyses you completed for this project. You downloaded your work as an HTML file. Review the file to make sure that every step and all your outputs are included. Submit the HTML file as part of your submission. Review the Jupyter Notebook in Codio Tutorial in the Supporting Materials section if you need help.Summary ReportUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.
Earn money selling
your Study Documents