Description
Part A: If four diced are rolled, how many ways are the four numbers different?
Part B: If three diced are rolled, how many ways are at least two of the dice the same?
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
Review
Review
Anonymous
Awesome! Perfect study aid.
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
10 pages
Trends In Evaluation Vocabulary.edited
Impact evaluation glossary. (2010). Journal of Development Effectiveness, 2(1), 187-194. doi: The glossaries appear differ ...
Trends In Evaluation Vocabulary.edited
Impact evaluation glossary. (2010). Journal of Development Effectiveness, 2(1), 187-194. doi: The glossaries appear differently. This is because some ...
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps
of a real-world linear regression research project starting with
developing a research question, then completing a comprehensive
statistical analysis, and ending with summarizing your research
conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to
develop a model to predict median housing prices for homes sold in 2019.
The CEO of D. M. Pan wants to use this information to help their real
estate agents better determine the use of square footage as a benchmark
for listing prices on homes. Your task is to provide a report predicting
the median housing prices based square footage. To complete this task,
use the provided real estate data set for all U.S. home sales as well as
national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section,
generate a report including your tables and graphs to determine if the
square footage of a house is a good indicator for what the listing price
should be. Reference the National Statistics and Graphs document for
national comparisons and the Real Estate County Data spreadsheet (both
found in the Supporting Materials section) for your statistical
analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.
Define the question your report is trying to answer.Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.
Data CollectionSampling the data: Select a random sample of 50 counties.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center,
spread, shape, and any unusual characteristic (outliers, gaps, etc.) for
the two variables.Compare and contrast the shape, center, spread, and any unusual
characteristic for your sample of house sales with the national
population. Is your sample representative of national housing market
sales?
Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables. Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize
your findings in clear and concise plain language for the CEO to
understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.
What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate County DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
RSCH8210 Walden University Week 6 Testing Hypotheses for Means Analysis
Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output ...
RSCH8210 Walden University Week 6 Testing Hypotheses for Means Analysis
Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.
HLTH 501 Liberty University Health Statistics Question
I'm working on a statistics exercise and need an explanation to help me understand better.Use your access code provided on ...
HLTH 501 Liberty University Health Statistics Question
I'm working on a statistics exercise and need an explanation to help me understand better.Use your access code provided on your new textbook (A used textbook will not have a working access code. You will need to purchase one if you do not have a new textbook) to access Navigate 2 Advantage Access for Essentials of biostatistics online workbook with e-book. If you have a used book you can purchase this separately. The Excel online workbook will aid students with statistical analysis and computing. We will be answering questions at the end of select chapters in the online workbook. Remember that the Essentials of Biostatistics Workbook document contains the online Excel chapter questions that you will submit as an excel document. The other excel downloads will aid in future statistical computations.JUST THE ACCESS CODE HTTPS://WWW.JBLEARNING.COM/CATALOG/PRODUCTDETAILS/9781284108217PLEASE SEE DOWNLOAD INSTRUCTIONS BELOW:Select Launch (Remember this is an open enrollment course. No course ID associated)All tutors provide: high quality help, quick responsive communication, original explanations and answers with any outside resources cited.
Similar Content
Indenpendent and Dependent Events, algebra homework help
Help me...
Econometrics SW3
There are three important requirements for this question. 1. The crucial part of this question is the explanations and lis...
Geometry : Finding the area
...
CH.2 Test (Functions and Graphs) in Mymathlab
I have quiz/test on CH.2 (Functions and Graphs) in MymathlabBut I have a family emergency I have to attend to.I want someo...
MAT 510 Design of experiment: Improving E-Mail Marketing case study
Case Study 2: Improving E-Mail Marketing Response Read the following case study. A company wishes to improve its e-mail m...
Algebra questions need checked
Frank.docx could someone check if its not correct please correct it...
20200819123612ren Dax2 Converted
We have begun our analysis of whether a dataset is appropriate for analysis. The first step was to evaluate whether there ...
Distribution And Statistical Inference
Phi Coefficient is exploited in measuring the intensity of association that may exist between available two binary-oriente...
Basish67
6. Actually ? = ?? and ℎ0 = ℎ0? (depends on ?). With this in mind, it is obvious that ℎ0 = ?? , the ?-th standard ba...
Related Tags
Book Guides
The Eyes Were Watching God
by Zora Neale Hurston
Too Much and Never Enough
by Mary L. Trump
Narrative of the Life of Frederick Douglass
by Frederick Douglass
Steppenwolf
by Hermann Hesse
The Sun Is Also a Star
by Nicola Yoon
Ethan Frome
by Edith Wharton
Cry the Beloved Country
by Alan Paton
Rules Of Civility
by Amor Towles
The Odyssey
by Homer
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
10 pages
Trends In Evaluation Vocabulary.edited
Impact evaluation glossary. (2010). Journal of Development Effectiveness, 2(1), 187-194. doi: The glossaries appear differ ...
Trends In Evaluation Vocabulary.edited
Impact evaluation glossary. (2010). Journal of Development Effectiveness, 2(1), 187-194. doi: The glossaries appear differently. This is because some ...
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques ...
MAT 240 Southern New Hampshire University Real Estate Company Discussion
CompetenciesIn this project, you will demonstrate your mastery of the following competencies:Apply statistical techniques to address research problemsPerform regression analysis to address an authentic problemOverviewThe purpose of this project is to have you complete all of the steps
of a real-world linear regression research project starting with
developing a research question, then completing a comprehensive
statistical analysis, and ending with summarizing your research
conclusions.ScenarioYou have been hired by the D. M. Pan National Real Estate Company to
develop a model to predict median housing prices for homes sold in 2019.
The CEO of D. M. Pan wants to use this information to help their real
estate agents better determine the use of square footage as a benchmark
for listing prices on homes. Your task is to provide a report predicting
the median housing prices based square footage. To complete this task,
use the provided real estate data set for all U.S. home sales as well as
national descriptive statistics and graphs provided.DirectionsUsing the Project One Template located in the What to Submit section,
generate a report including your tables and graphs to determine if the
square footage of a house is a good indicator for what the listing price
should be. Reference the National Statistics and Graphs document for
national comparisons and the Real Estate County Data spreadsheet (both
found in the Supporting Materials section) for your statistical
analysis.Note: Present your data in a clearly labeled table and using clearly labeled graphs.Specifically, include the following in your report:IntroductionDescribe the report: Give a brief description of the purpose of your report.
Define the question your report is trying to answer.Explain when using linear regression is most appropriate.
When using linear regression, what would you expect the scatterplot to look like?
Explain the difference between response and predictor variables in a linear regression to justify the selection of variables.
Data CollectionSampling the data: Select a random sample of 50 counties.
Identify your response and predictor variables.
Scatterplot: Create a scatterplot of your response and predictor variables to ensure they are appropriate for developing a linear model.Data AnalysisHistogram: For your two variables, create histograms.Summary statistics: For your two variables, create a table to show the mean, median, and standard deviation.Interpret the graphs and statistics:
Based on your graphs and sample statistics, interpret the center,
spread, shape, and any unusual characteristic (outliers, gaps, etc.) for
the two variables.Compare and contrast the shape, center, spread, and any unusual
characteristic for your sample of house sales with the national
population. Is your sample representative of national housing market
sales?
Develop Your Regression ModelScatterplot: Provide a graph of the scatterplot of the data with a line of best fit.
Explain if a regression model is appropriate to develop based on your scatterplot.
Discuss associations: Based on the scatterplot, discuss the association (direction, strength, form) in the context of your model.
Identify any possible outliers or influential points and discuss their effect on the correlation.Discuss keeping or removing outlier data points and what impact your decision would have on your model.
Find r: Find the correlation coefficient (r).
Explain how the r value you calculated supports what you noticed in your scatterplot.
Determine the Line of Best Fit. Clearly define your variables. Find and interpret the regression equation. Assess the strength of the model.Regression equation: Write the regression equation (i.e., line of best fit) and clearly define your variables. Interpret regression equation: Interpret the slope and intercept in context.Strength of the equation: Provide and interpret R-squared.
Determine the strength of the linear regression equation you developed.
Use regression equation to make predictions: Use your regression equation to predict how much you should list your home for based on the square footage of your home.ConclusionsSummarize findings: In one paragraph, summarize
your findings in clear and concise plain language for the CEO to
understand. Summarize your results.
Did you see the results you expected, or was anything different from your expectations or experiences?
What changes could support different results, or help to solve a different problem?Provide at least one question that would be interesting for follow-up research.
What to SubmitTo complete this project, you must submit the following:Project One Template: Use this template to structure your report, and submit the finished version as a Word document.Supporting MaterialsThe following resources may help support your work on the project:Document: National Statistics and GraphsUse this data for input in your project report.Spreadsheet: Real Estate County DataUse this data for input in your project report.Tutorial: Downloading Office 365 ProgramsUse this tutorial for support with Office 365 programs.
RSCH8210 Walden University Week 6 Testing Hypotheses for Means Analysis
Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output ...
RSCH8210 Walden University Week 6 Testing Hypotheses for Means Analysis
Write a 2 to 3-paragraph analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.
HLTH 501 Liberty University Health Statistics Question
I'm working on a statistics exercise and need an explanation to help me understand better.Use your access code provided on ...
HLTH 501 Liberty University Health Statistics Question
I'm working on a statistics exercise and need an explanation to help me understand better.Use your access code provided on your new textbook (A used textbook will not have a working access code. You will need to purchase one if you do not have a new textbook) to access Navigate 2 Advantage Access for Essentials of biostatistics online workbook with e-book. If you have a used book you can purchase this separately. The Excel online workbook will aid students with statistical analysis and computing. We will be answering questions at the end of select chapters in the online workbook. Remember that the Essentials of Biostatistics Workbook document contains the online Excel chapter questions that you will submit as an excel document. The other excel downloads will aid in future statistical computations.JUST THE ACCESS CODE HTTPS://WWW.JBLEARNING.COM/CATALOG/PRODUCTDETAILS/9781284108217PLEASE SEE DOWNLOAD INSTRUCTIONS BELOW:Select Launch (Remember this is an open enrollment course. No course ID associated)All tutors provide: high quality help, quick responsive communication, original explanations and answers with any outside resources cited.
Earn money selling
your Study Documents