Assignment: One- and Two- Sample Test
Using the materials in the module homepage and in the background section, please address the following:
Define and describe commonly used statistics for categorical and continuous variables to test for a statistically significant difference between two-samples or measures (e.g., chi-square, t-tests, binomial proportions, etc.). (1 page)
What is the difference between the one-sample t-test, the two-sample t-test, and the paired-sample t-test? (1 page)
Describe a type of study for each of these three types of t-tests, as well as the variable that is analyzed with each of the three forms of the t-test. (1 page)
Length: Case Assignment should be at least 3 pages (750 words) in length, APA format.
References: At least two references from academic sources must be included (e.g., peer-reviewed journal articles). You may use any required readings from this module for your two references.
Van Eck, N. (2014). The decision tree for statistics. Based on Andrews, F. M., Klem L., Davidson, T. N., O’Malley, P., and Rodgers, W. L.: A guide for selecting statistical techniques for analyzing social science data: The decision tree for statistics. The University of Michigan. Retrieved from http://www.microsiris.com/Statistical%20Decision%20Tree/how_many_variables.htm
Gardener, M. (2017). Choosing the right statistical analysis. Retrieved from http://www.dataanalytics.org.uk/Data%20Analysis/Statistics/choosing-your-stats-test.htm#choosing
McDonald, J. H. (2014). Students t-test for one sample. In Handbook of biological statistics (3rd ed.). Sparky House Publishing, Baltimore, Maryland. Accessed at http://www.biostathandbook.com/onesamplettest.html
McDonald, J. H. (2014). Students t-test for two samples. In Handbook of biological statistics (3rd ed.). Sparky House Publishing, Baltimore, Maryland. Accessed at http://www.biostathandbook.com/twosamplettest.html
McDonald, J. H. (2014). Independence. In Handbook of biological statistics (3rd ed.). Sparky House Publishing, Baltimore, Maryland. Accessed at http://www.biostathandbook.com/independence.html
McDonald, J. H. (2014). Paired t-test. In Handbook of biological statistics (3rd ed.). Sparky House Publishing, Baltimore, Maryland. Accessed at http://www.biostathandbook.com/pairedttest.html
McDonald, J. H. (2014). Chi-square test of independence. In Handbook of biological statistics (3rd ed.). Sparky House Publishing: Baltimore, Maryland. Accessed at http://www.biostathandbook.com/chiind.html
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