Z, T, or Chi-Square Test Study
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 (see attached file title: MY assignment ): 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 assignment.
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.
Replies – Though you may respond to your peers multiple times during the week to provide support or feedback, students are required to respond to at least two of their classmates’ postings by Day 3.
Point Value: 4 Points
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
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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.)
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.)
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
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