# Z, T, or Chi-Square Test Study Discussion Paper.

**Z, T, or Chi-Square Test Study Discussion Paper.**

Background

During this week you will identify a research question created in Week 1 that would be best answered by any of the following statistical tests: z test, t test for single sample, independent samples t test, repeated measures t test, or Chi-Square test. This discussion will help you work towards your “Week 3 Assignment 2.” If there are no research questions that fit any of these types of statistical analyses, decide on a new question before moving forward with the Z, T, or Chi-Square Test Study Discussion Paper.

Discussion Assignment Requirements

Initial Posting – In your initial posting for this assignment, include the following:

- Identify an appropriate research question that would require the use of a z-, t-, or Chi-Square test to answer. Pick the question from the list created in Week 1 or identify a new question if there are no appropriate ones from Week 1.
- Describe why this question is appropriate for the selected statistical test.
- Identify the variables in this study and each of their attributes: discrete or continuous, quantitative or categorical, scale of measurement (nominal, ordinal, interval, or ratio), and independent or dependent.
- Explain how the variables do or do not fit the qualifications for the selected statistical test.
- Provide a written explanation for the null and alternative hypotheses.
- Describe the types of errors that could occur.

Resources

Required Text

Sukal, M. (2019). Research methods: Applying statistics in research. San Diego, CA: Bridgepoint Education, Inc.

Chapter 4: Applying z to Groups

Chapter 5: The t-test

Chapter 11: Nominal Data and Chi-Squared Tests: What Occurs vs. What is Expected

Carruthers, M. W., Maggard, M. (2019). SmartLab: A Statistics Primer. San Diego, CA: Bridgepoint Education, Inc.

Lesson 6: Probability

Lesson 7: Normal Distributions and z Scores

Lesson 8: Hypothesis Testing

SMARTLab Tests: The SMARTLab is a self-paced, online basic statistics course designed to prepare you for your graduate courses and graduate research.

Lesson 6: Probability

Lesson 7: Normal Distribution

Lesson 8: Hypothesis Testing

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Required References

Apostolou, M. (2010). Parental choice: What parents want in a son-in-law and a daughter-in-law across 67 pre-industrial societies. British Journal of Psychology, 101, 695-704. doi: 10.1348/000712609X480634

Coughlan, M., Cronan, P., & Ryan, F. (2007). Step-by-step guide to critiquing research. Part 1: Quantitative research. British Journal of Nursing, 16 (11), 658-663. Retrieved from: http://www.unm.edu/~unmvclib/cascade/handouts/critiquingresearchpart1.pdf (Links to an external site.)

UIS. (n.d.). How to critique a journal article. Retrieved from https://otpod.files.wordpress.com/2013/03/jrnlcrtq.pdf (Links to an external site.)

Recommended References

Albert, J. (1996). An introduction to probability. Retrieved from http://www-math.bgsu.edu/~albert/m115/probability/outline.html (Links to an external site.)

American Psychological Association (2010). Publication manual of the American Psychological Association (6th ed.). Washington, D.C.: Author.

Consortium for Mathematics and its Applications & Chedd-Angier (Producers). (1989). Against all odds: Inside statistics. Available from http://www.learner.org/resources/series65.html (Links to an external site.)Z, T, or Chi-Square Test Study Discussion Paper.

Cengage Learning (2005). Research Methods Workshops. Available from: http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/resch_wrk.html (Links to an external site.)

Cengage Learning (2005). Statistics Workshops. Available from: http://www.wadsworth.com/psychology_d/templates/student_resources/workshops/stats_wrk.html (Links to an external site.)

Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Basic Definitions: http://www.stats.gla.ac.uk/steps/glossary/basic_definitions.html (Links to an external site.)

Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Categorical Data: http://www.stats.gla.ac.uk/steps/glossary/categorical_data.html (Links to an external site.)

Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Confidence Intervals: http://www.stats.gla.ac.uk/steps/glossary/confidence_intervals.html (Links to an external site.)

Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Hypothesis Testing: http://www.stats.gla.ac.uk/steps/glossary/hypothesis_testing.html (Links to an external site.)

Easton, V. J., & McColl, J. H. (1997). STEPS: Statistics Glossary v1.1. Retrieved from University of Glasgow Web site: Nonparametric Methods: http://www.stats.gla.ac.uk/steps/glossary/nonparametric.html (Links to an external site.)

Khan Academy (Producer). (2011). Statistics. Available from https://www.khanacademy.org/math/statistics-probability (Links to an external site.)Z, T, or Chi-Square Test Study Discussion Paper.

Neill, J. (2010). University of Canberra. Power, Effect Sizes, Confidence Intervals, & Scientific Integrity. Available from: http://www.slideshare.net/jtneill/power-effect-sizes-confidence-intervals-scientific-integrity (Links to an external site.)

Online Stat Book (2008). Retrieved from Rice Virtual Lab in Statistics Web site: Chi-Square Test of Deviations http://onlinestatbook.com/stat_sim/chisq_theor/index.html (Links to an external site.) Z, T, or Chi-Square Test Study Discussion Paper.

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