Category: Statistics

Research Question: Is there a linear relationship between feelings toward conser

Research Question: Is there a linear relationship between feelings toward conservatives and beliefs regarding gay persons’ right to marry one another?
1. In the context of your chosen research question, what relationship were you investigating with this analysis? In your response, be sure to identify:
-the conceptual variables involved in your research question,
-the inferential statistical test you performed for your analysis, and the alpha level you used to determine significance.
2. What were the results of your chosen statistical test? In your response, be sure to use APA formatting for all statistical values and include:
– the main statistic value with degrees of freedom, p value, and effect size; any additional values necessary to interpret your findings (for example, slope for regression and means for ANOVA); and the pattern of relationship between variables.
3. How do your statistical findings connect to your research question? In other words, what do these findings mean in context of the conceptual variables being studied?
4. Based on your findings, what is one direct actionable item you can recommend in context of the original research question?

Use Crimjust.sav file for SPSS to develop a short research paper that utilizes t

Use Crimjust.sav file for SPSS to develop a short research paper that utilizes the concepts presented in this course. Keep your paper simple, and use only one statistical test. To accomplish this, complete the following:
Write 1 paragraph that introduces your research question, data set, and scenario.
Create 1 quantitative research question and its associated hypotheses. Your research question should use inferential statistics.
Write a 1-paragraph explanation of the methods that are used to answer your research question. Your explanation should provide the type of test that you are conducting, why this test is appropriate to answer your research question, and what assumptions you have made about your data set (e.g., parametric versus nonparametric, normality, outliers, and so on).
Write 1 paragraph that provides your calculated descriiptive statistics (e.g., measure of center, measure of spread) about your variable(s) or group(s).
Use SPSS to complete the analyses that you described in the methods paragraph. In multiple paragraphs, write the results from your analyses using proper APA formatting. Include all of the key tables and plots that are required to answer your research question. Properly label each graph and table, and reference each item within your text.
Write 1 paragraph to explain how your results answer your questions.
Include in your paper a title page, abstract, conclusion, and references.
Submit your Word document, data file, and SPSS output file.
Everything must be in proper APA format and please include instruction on how you obtained the results in SPSS so it can be recreated.

MAT 240 Project Two Guidelines and Rubric
Competency
In this project, you will d

MAT 240 Project Two Guidelines and Rubric
Competency
In this project, you will demonstrate your mastery of the following competency:
Apply statistical techniques to address research problems
Perform hypothesis testing to address an authentic problem
Overview
In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.
Scenario
You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:
Are housing prices in your regional market lower than the national market average?
Is the square footage for homes in your region different than the average square footage for homes in the national market?
For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?
You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.
Directions
Introduction
Region: Start by picking one region from the following list of regions:
West South Central, West North Central, East South Central, East North Central, Mid Atlantic
Purpose: What is the purpose of your analysis?
Sample: Define your sample. Take a random sample of 500 house sales for your region.Describe what is included in your sample (i.e., states, region, years or months).
Questions and type of test: For your selected sample, define two hypothesis questions (see the Scenario above) and the appropriate type of test for each. Address the following for each hypothesis:Describe the population parameter for the variable you are analyzing.
Describe your hypothesis in your own words.
Identify the hypothesis test you will use (1-Tail or 2-Tail).
Level of confidence: Discuss how you will use estimation and confidence intervals to help you solve the problem.
1-Tail Test
Hypothesis: Define your hypothesis.Define the population parameter.
Write null (Ho) and alternative (Ha) hypotheses. Note: For means, define a hypothesis that is less than the population parameter.
Specify your significance level.
Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.Provide at least one histogram of your sample data.
In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel:
=QUARTILE([data range], [quartile number])
Summarize your sample data, describing the center, spread, and shape in comparison to the national information (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Note: For shape, think about the distribution: skewed or symmetric.
Check the conditions.Determine if the normal condition has been met.
Determine if there are any other conditions that you should check and whether they have been met. Note: Think about the central limit theorem and sampling methods.
Hypothesis test calculations: Complete hypothesis test calculations.Calculate the hypothesis statistics.Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.
Calculate the probability (p value). Note:This calculation is done with the T.DIST function in Excel:
=T.DIST([test statistic], [degree of freedom], True) The degree of freedom is calculated by subtracting 1 from your sample size.
Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.
Make the correct decision (reject or fail to reject).
Provide a conclusion in the context of your hypothesis.
2-Tail Test
Hypotheses: Define your hypothesis.Define the population parameter.
Write null and alternative hypotheses. Note: For means, define a hypothesis that is not equal tothe population parameter.
State your significance level.
Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.Provide at least one histogram of your sample data.
In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel:
=QUARTILE([data range], [quartile number])
Summarize your sample data, describing the center, spread, and shape in comparison to the national information. Note: For shape, think about the distribution: skewed or symmetric.
Check the assumptions.Determine if the normal condition has been met.
Determine if there are any other conditions that should be checked on and whether they have been met. Note: Think about the central limit theorem and sampling methods.
Hypothesis test calculations: Complete hypothesis test calculations.Calculate the hypothesis statistics.Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.]
Determine the probability (p value). Note:This calculation is done with the TDIST.2T function in Excel:
=T.DIST.2T([test statistic], [degree of freedom]) The degree of freedom is calculated by subtracting 1 from your sample size.
Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Compare the p value and significance level.
Make the correct decision (reject or fail to reject).
Provide a conclusion in the context of your hypothesis.
Comparison of the test results: Revisit Question 3 from the Scenario section: For your region, what is the range of values for the 95% confidence interval of square footage for homes?Calculate and report the 95% confidence interval. Show or describe your method of calculation.
Final Conclusions
Summarize your findings: In one paragraph, summarize your findings in clear and concise plain language.
Discuss: Discuss whether you were surprised by the findings. Why or why not?
You can use the following tutorial that is specifically about this assignment:
MAT-240 Module 7 Project Two Video
What to Submit
To complete this project, you must submit the following:
Project Two Template Word Document Use this template to structure your report, and submit the finished version as a Word document.
Supporting Materials
The following resources may help support your work on the project:
Data Set: MAT 240 House Listing Price by Region Spreadsheet
Use this data for input in your project report.
Document: National Summary Statistics and Graphs House Listing Price by Region PDF
Use this data for input in your project report.

instructions for assignment are on the week 6 document!! please do not use AI!!!

instructions for assignment are on the week 6 document!! please do not use AI!!!!!
THE CHI SQUARE DATASET IS FOR NONBOOK QUESTION

MAT 240 Project Two Guidelines and Rubric
Competency
In this project, you will d

MAT 240 Project Two Guidelines and Rubric
Competency
In this project, you will demonstrate your mastery of the following competency:
Apply statistical techniques to address research problems
Perform hypothesis testing to address an authentic problem
Overview
In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.
Scenario
You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:
Are housing prices in your regional market lower than the national market average?
Is the square footage for homes in your region different than the average square footage for homes in the national market?
For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?
You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.
Directions
Introduction
Region: Start by picking one region from the following list of regions:
West South Central, West North Central, East South Central, East North Central, Mid Atlantic
Purpose: What is the purpose of your analysis?
Sample: Define your sample. Take a random sample of 500 house sales for your region.Describe what is included in your sample (i.e., states, region, years or months).
Questions and type of test: For your selected sample, define two hypothesis questions (see the Scenario above) and the appropriate type of test for each. Address the following for each hypothesis:Describe the population parameter for the variable you are analyzing.
Describe your hypothesis in your own words.
Identify the hypothesis test you will use (1-Tail or 2-Tail).
Level of confidence: Discuss how you will use estimation and confidence intervals to help you solve the problem.
1-Tail Test
Hypothesis: Define your hypothesis.Define the population parameter.
Write null (Ho) and alternative (Ha) hypotheses. Note: For means, define a hypothesis that is less than the population parameter.
Specify your significance level.
Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.Provide at least one histogram of your sample data.
In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel:
=QUARTILE([data range], [quartile number])
Summarize your sample data, describing the center, spread, and shape in comparison to the national information (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Note: For shape, think about the distribution: skewed or symmetric.
Check the conditions.Determine if the normal condition has been met.
Determine if there are any other conditions that you should check and whether they have been met. Note: Think about the central limit theorem and sampling methods.
Hypothesis test calculations: Complete hypothesis test calculations.Calculate the hypothesis statistics.Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.
Calculate the probability (p value). Note:This calculation is done with the T.DIST function in Excel:
=T.DIST([test statistic], [degree of freedom], True) The degree of freedom is calculated by subtracting 1 from your sample size.
Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.
Make the correct decision (reject or fail to reject).
Provide a conclusion in the context of your hypothesis.
2-Tail Test
Hypotheses: Define your hypothesis.Define the population parameter.
Write null and alternative hypotheses. Note: For means, define a hypothesis that is not equal tothe population parameter.
State your significance level.
Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.Provide at least one histogram of your sample data.
In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel:
=QUARTILE([data range], [quartile number])
Summarize your sample data, describing the center, spread, and shape in comparison to the national information. Note: For shape, think about the distribution: skewed or symmetric.
Check the assumptions.Determine if the normal condition has been met.
Determine if there are any other conditions that should be checked on and whether they have been met. Note: Think about the central limit theorem and sampling methods.
Hypothesis test calculations: Complete hypothesis test calculations.Calculate the hypothesis statistics.Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.]
Determine the probability (p value). Note:This calculation is done with the TDIST.2T function in Excel:
=T.DIST.2T([test statistic], [degree of freedom]) The degree of freedom is calculated by subtracting 1 from your sample size.
Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Compare the p value and significance level.
Make the correct decision (reject or fail to reject).
Provide a conclusion in the context of your hypothesis.
Comparison of the test results: Revisit Question 3 from the Scenario section: For your region, what is the range of values for the 95% confidence interval of square footage for homes?Calculate and report the 95% confidence interval. Show or describe your method of calculation.
Final Conclusions
Summarize your findings: In one paragraph, summarize your findings in clear and concise plain language.
Discuss: Discuss whether you were surprised by the findings. Why or why not?
You can use the following tutorial that is specifically about this assignment:
MAT-240 Module 7 Project Two Video
What to Submit
To complete this project, you must submit the following:
Project Two Template Word Document Use this template to structure your report, and submit the finished version as a Word document.
Supporting Materials
The following resources may help support your work on the project:
Data Set: MAT 240 House Listing Price by Region Spreadsheet
Use this data for input in your project report.
Document: National Summary Statistics and Graphs House Listing Price by Region PDF
Use this data for input in your project report.

MAT 240 Project Two Guidelines and Rubric
Competency
In this project, you will d

MAT 240 Project Two Guidelines and Rubric
Competency
In this project, you will demonstrate your mastery of the following competency:
Apply statistical techniques to address research problems
Perform hypothesis testing to address an authentic problem
Overview
In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods.
Scenario
You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national market. The regional sales director has three questions that they want to see addressed in the report:
Are housing prices in your regional market lower than the national market average?
Is the square footage for homes in your region different than the average square footage for homes in the national market?
For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market?
You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below.
Directions
Introduction
Region: Start by picking one region from the following list of regions:
West South Central, West North Central, East South Central, East North Central, Mid Atlantic
Purpose: What is the purpose of your analysis?
Sample: Define your sample. Take a random sample of 500 house sales for your region.Describe what is included in your sample (i.e., states, region, years or months).
Questions and type of test: For your selected sample, define two hypothesis questions (see the Scenario above) and the appropriate type of test for each. Address the following for each hypothesis:Describe the population parameter for the variable you are analyzing.
Describe your hypothesis in your own words.
Identify the hypothesis test you will use (1-Tail or 2-Tail).
Level of confidence: Discuss how you will use estimation and confidence intervals to help you solve the problem.
1-Tail Test
Hypothesis: Define your hypothesis.Define the population parameter.
Write null (Ho) and alternative (Ha) hypotheses. Note: For means, define a hypothesis that is less than the population parameter.
Specify your significance level.
Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.Provide at least one histogram of your sample data.
In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel:
=QUARTILE([data range], [quartile number])
Summarize your sample data, describing the center, spread, and shape in comparison to the national information (under Supporting Materials, see the National Summary Statistics and Graphs House Listing Price by Region PDF). Note: For shape, think about the distribution: skewed or symmetric.
Check the conditions.Determine if the normal condition has been met.
Determine if there are any other conditions that you should check and whether they have been met. Note: Think about the central limit theorem and sampling methods.
Hypothesis test calculations: Complete hypothesis test calculations.Calculate the hypothesis statistics.Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.
Calculate the probability (p value). Note:This calculation is done with the T.DIST function in Excel:
=T.DIST([test statistic], [degree of freedom], True) The degree of freedom is calculated by subtracting 1 from your sample size.
Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Relate the p value and significance level.
Make the correct decision (reject or fail to reject).
Provide a conclusion in the context of your hypothesis.
2-Tail Test
Hypotheses: Define your hypothesis.Define the population parameter.
Write null and alternative hypotheses. Note: For means, define a hypothesis that is not equal tothe population parameter.
State your significance level.
Data analysis: Summarize your sample data using appropriate graphical displays and summary statistics and confirm assumptions have not been violated to complete this hypothesis test.Provide at least one histogram of your sample data.
In a table, provide summary statistics including sample size, mean, median, and standard deviation. Note: For quartiles 1 and 3, use the quartile function in Excel:
=QUARTILE([data range], [quartile number])
Summarize your sample data, describing the center, spread, and shape in comparison to the national information. Note: For shape, think about the distribution: skewed or symmetric.
Check the assumptions.Determine if the normal condition has been met.
Determine if there are any other conditions that should be checked on and whether they have been met. Note: Think about the central limit theorem and sampling methods.
Hypothesis test calculations: Complete hypothesis test calculations.Calculate the hypothesis statistics.Determine the appropriate test statistic (t). Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.]
Determine the probability (p value). Note:This calculation is done with the TDIST.2T function in Excel:
=T.DIST.2T([test statistic], [degree of freedom]) The degree of freedom is calculated by subtracting 1 from your sample size.
Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis.Compare the p value and significance level.
Make the correct decision (reject or fail to reject).
Provide a conclusion in the context of your hypothesis.
Comparison of the test results: Revisit Question 3 from the Scenario section: For your region, what is the range of values for the 95% confidence interval of square footage for homes?Calculate and report the 95% confidence interval. Show or describe your method of calculation.
Final Conclusions
Summarize your findings: In one paragraph, summarize your findings in clear and concise plain language.
Discuss: Discuss whether you were surprised by the findings. Why or why not?
You can use the following tutorial that is specifically about this assignment:
MAT-240 Module 7 Project Two Video
What to Submit
To complete this project, you must submit the following:
Project Two Template Word Document Use this template to structure your report, and submit the finished version as a Word document.
Supporting Materials
The following resources may help support your work on the project:
Data Set: MAT 240 House Listing Price by Region Spreadsheet
Use this data for input in your project report.
Document: National Summary Statistics and Graphs House Listing Price by Region PDF
Use this data for input in your project report.

please do questions 2 and 18 from chapter 12, follow instructions, do not use AI

please do questions 2 and 18 from chapter 12, follow instructions, do not use AI !!!
INSTRUCTIONS BELOW USE PDF FOR CHAPTER 12 QUESTIONS
Chapter 12
Question 2. Brief answer
Question 18. (ignore instructions in the book and follow the steps I describe above. Do the problem both ways, i.e., showing all the work [EXCEL or writing it out] AND using one of the software options [SPSS or Jamovi — cut and paste results]). Assume that you predict that the “text” group will have higher ratings of competence than the other two groups (i.e., you make specific predictions). Produce a chart that helps you interpret the findings and include error bars (95% confidence intervals) for groups. Be specific with respect to any group mean differences you find. Report effect size for overall F-test.
**note, effect size for ANOVA is eta-squared
Non-book questions (use the data sets provided on the blackboard to answer these questions).
1. Using the Politics data set, test whether mean levels of the personality factors openness to experience (opentot) and disagreeableness (disagreeable) differ across the political party groups (polparty: republicans, democrats, independents and not registered). Assume that this is an exploratory analysis, and you have no predictions about how the groups might differ, thus, you want greater protection against making a type 1 error. Produce charts that helps you interpret the findings and include error bars (95% confidence intervals) for groups. Be specific with respect to any group mean differences you find, i.e., tell me who is significantly higher/lower. Report effect size for overall F-test.

solve three questions and give explanation in each question. Afterthat,I want yo

solve three questions and give explanation in each question. Afterthat,I want you to give me a script for each question as paragraph regarding what we did from first to end.

Answer all questions except question 2,3, and 4.
Please read instructions carefu

Answer all questions except question 2,3, and 4.
Please read instructions carefully and answer the questions correctly.
Let me know if any files don’t open.
Thanks.

Calculate Your Net Worth Instructions
How do you calculate net worth? Calculatin

Calculate Your Net Worth Instructions
How do you calculate net worth? Calculating your net worth requires you to take an inventory of what you own, as well as your outstanding debt. And when we say own, we include assets that you may still be paying for, such as a car or a house.
For example, if you have a mortgage on a house with a market value of $200,000 and the balance on your loan is $150,000, you can add $50,000 to your net worth.
Basically, the formula is: ASSETS – LIABILITIES = NET WORTH
Download the Net Worth Spreadsheet below to calculate your net worth. The items listed may or may not apply to you. Delete, add, and substitute to personalize it to your needs.
Create a Budget Instructions
Everyone needs a budget, whether you’re married with kids or a student embarking on an educational journey. While making and sticking to a budget may seem like a daunting task, the process can actually be easier than you think. There are a number of ways to save a few bucks every month.
An effective budget needs to be put down on paper or via a spreadsheet from a student budget template. On this budget, make a list of all your forms of incomes (including your job, loans, parents, etc.), followed by all your expenses (such as rent, books, food, etc.).
Make sure to differentiate between your needs versus your wants. The final number that you calculate should not be a negative number. If it is, you need to make some adjustments to make sure your take-home pay covers all your expenses.
Download the Budget Spreadsheet below to create a monthly budget. The items listed may or may not apply to you. Delete, add, and substitute to personalize it to your needs. Do NOT include a “miscellaneous” category – everything needs to be accounted for.
Download and fill out the attached Microsoft Excel spreadsheets to complete this assignment. When you are finished, you will upload the completed Microsoft Excel spreadsheets.