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)

Assignment Expectations

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.

Helpful Resources:

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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