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.
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.
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.
