Mathematics Homework Help

Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on t tests. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.

To prepare for this Discussion:

• Review the Learning Resources and the media programs      related to t tests.
• Search for and select a quantitative article specific      to your discipline and related to t tests. Help with this task may be      found in the Course guide and assignment help linked in this week’s      Learning Resources. Also, you can use as a guide the Research Design      Alignment Table located in this week’s Learning Resources

Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:

• Which is the research design used by the authors?
• Why did the authors use this t test?
• Do you think it’s the most appropriate choice? Why or      why not?
• Did the authors display the data?
• Do the results stand alone? Why or why not?
• Did the authors report effect size? If yes, is this      meaningful?  

Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.

Learning Resources

Required Readings

Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.

• Chapter 8, “Testing Hypothesis” (pp. 243-279)

Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.

• Chapter 6, “Testing Hypotheses Using Means and Cross-Tabulation” (previously read in Week 5)
• Chapter 11, “Editing Output” (previously read in Week 2, 3, and 4)

Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210

For help with this week’s research, see this Course Guide and related weekly assignment resources.

Fox, J. (1991). Discrete data. In Regression diagnostics (pp. 62-66). SAGE Publications, Inc., https://www-doi-org.ezp.waldenulibrary.org/10.4135/9781412985604

Fox, J. (1991). Regression diagnostics. SAGE Publications, Inc. https://www-doi-org.ezp.waldenulibrary.org/10.4135/9781412985604

Fox, J. (1991). Non-normally distributed errors. In Regression diagnostics (pp. 41-48). SAGE Publications, Inc., https://www-doi-org.ezp.waldenulibrary.org/10.4135/9781412985604

Fox, J. (1991). Nonconstant error variance. In Regression diagnostics (pp. 49-53). SAGE Publications, Inc., https://www-doi-org.ezp.waldenulibrary.org/10.4135/9781412985604

Fox, J. (1991). Nonlinearity. In Regression diagnostics (pp. 54-61). SAGE Publications, Inc., https://www-doi-org.ezp.waldenulibrary.org/10.4135/9781412985604

Fox, J. (1991). Outlying and influential data. In Regression diagnostics (pp. 22-40). SAGE Publications, Inc., https://www-doi-org.ezp.waldenulibrary.org/10.4135/9781412985604

Document: Week 6 t test Scenarios (PDF)

Use these scenarios to complete this week’s Assignment.

Document: Walden University: Research Design Alignment Table

Datasets

Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here.

Required Media

Laureate Education (Producer). (2016l). The t test for independent samples [Video file]. Baltimore, MD: Author.

Note: The approximate length of this media piece is 5 minutes.

In this media program, Dr. Matt Jones, demonstrates the t Test for independent samples in SPSS.

Accessible player  –Downloads– Download Video w/CC Download Audio Download Transcript 

Laureate Education (Producer). (2016m). The t test for related samples [Video file]. Baltimore, MD: Author.

Note: The approximate length of this media piece is 5 minutes.

In this media program, Dr. Matt Jones, demonstrates the t test for related samples in SPSS.

Accessible player  –Downloads– Download Video w/CC Download Audio Download Transcript 

Optional Resources

Klingenberg, B. (2016). Inference for comparing two population means. Retrieved from https://istats.shinyapps.io/2sample_mean/

Use the following app/weblink to enter your own data and obtain an interactive visual display.

Skill Builders:

• Research Design and Statistical Design
• Hypothesis Testing for Independent Samples t-test