## About: In this assignment, you will examine various scenarios involving a hypoth

About: In this assignment, you will examine various scenarios involving a hypothesis test we have been working with called the independent samples t-test. The objective is to understand the statistical process of testing hypotheses and interpreting results. You will analyze provided data and write a report explaining the populations, variables, which one is the independent and dependent variable, and the results of the hypothesis test.

Directions: Select ONE scenarios and complete the following report for each scenario.

1. Introduction
• Review the provided data describe the goal of the research including what the independent and dependent variable is. Provide the Null and Research hypothesis based on the data provided.
2. Methods
• Describe the data including sample sizes for each group, mean hours for each group, variance, and observable differences
• State that the independent samples t-test was conducted and provide all the important results (t-statistic, p-value, degrees of freedom)

3. Results

• Interpret the results, is there a statistically significant relationship?
• Do we accept or reject the null hypothesis?
• Are the two variables related to one another?

4. Discussion

• Discuss any potential limitations of the test and results
• Provide some thoughts on why we obtained the results we obtained, consider various logical explanations

Word Count: Each report should be about 300 words or more, giving about 75 to 100 words per section in the directions provided.

Scenarios: Similar to the prep-lab, and the here are some scenarios of various statistical outputs involving t-tests. Select ONE of the following to complete your assignment

T-Test Lab Scenario 1: Chores by Gender/Sex

T-Test Lab Scenario 2: Number of Energy Drinks by Student Status

T-Test Lab Scenario 3: Retired vs Non-Retired & Stress Scores

T-Test Lab Scenario 4: Working Class vs Middle Class & Hours Spent on Leisure

T-Test Lab: Scenario 1
Chores by Gender/Sex

Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment.

About: In this scenario the researcher is interested in seeing if there is a difference in hours spent on chores per week based on Gender/Sex. Here are their results! Be sure to look at only the one-tailed p-value results.

Statistical Output

Descriptive Statistics: Hours Spent on Chores per Week by Sex

 Samples N Mean Variance Males 314 6.4 hours 5.5 Females 445 7.5 hours 3.7

T-statistic Output

 T-statistic degrees of freedom One-Tailed (Sig.) Two-Tailed (Sig.) 3.9 757 p = .000052 p = .000105

If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.

T-Test Lab: Scenario 2
Energy Drinks by Student Status

Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment. Remember you just have to choose two scenarios.

About: In this scenario the researcher is interested in seeing if there is a difference in energy drinks consumed per week based on student status (student vs non-student). Here are their results! Be sure to look at only the one-tailed p-value results only.

Statistical Output

Descriptive Statistics: Energy Drinks by Student Status

 Samples N Mean Variance Students 56 1.1 .33 Non-Students 71 0.25 .65

T-statistic Output

 T-statistic degrees of freedom One-Tailed (Sig.) Two-Tailed (Sig.) 1.855 125 p = .032976 p = .065952

If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.

T-Test Lab: Scenario 4
Hours of Leisure by Class

Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment.

About: In this scenario the researcher is interested in seeing if there is a difference in hours spent on leisure per week based on Social Class. Here are their results! Be sure to look at only the one-tailed p-value results.

Statistical Output

Descriptive Statistics: Hours of Leisure based on Social Class

 Samples N Mean Variance Middle Class 503 8.9 6.5 Working Class 478 7.1 hours 7.8

T-statistic Output

 T-statistic degrees of freedom One-Tailed (Sig.) Two-Tailed (Sig.) 1.033 979 p = .15093 p = .301859

If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.

T-Test Lab: Scenario 3
Stress Scores by Retired Status

Important: Before completing the scenarios be sure you have completed the pre-lab and have looked at the directions in the Lab Analysis #1 Assignment. Remember you just have to choose two scenarios.

About: In this scenario the researcher is interested in seeing if there is a difference in Stress based on retired status (retired vs not retired). Here are their results! Be sure to look at only the one-tailed p-value results only.

Statistical Output

Descriptive Statistics: Stress Scores by Retired Status

 Samples N Mean Variance Retired 34 13.2 5.6 Not Retired 55 16.8 7.9

T-statistic Output

 T-statistic degrees of freedom One-Tailed (Sig.) Two-Tailed (Sig.) 4.901 87 p <.001 p <.001

If you have selected this scenario, complete the lab analysis #1 based on these outputs. Feel free to copy and paste these outputs onto a word document along with the instructions of Lab Analysis #1 to begin your Lab Analysis.

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