Discussion Question Week-8.docx - Discuss the differences...

This preview shows page 1 - 2 out of 2 pages.

Discuss the differences between non-parametric and parametric tests. Provide an example of each and discuss when it is appropriate to use the test. Next, discuss the assumptions that must be met by the investigator to run the test. Conclude with a brief discussion of your data analysis plan. Discuss the test you will use to address the study hypothesis and which measures of central tendency you will report for demographic variables. Provide constructive, supportive feedback to your classmates’ posts. According to changingminds.org (2016) website, parametric and non-parametric tests are known to be two types of methods to perform test on research. Parametric tests make certain assumptions about a data set; namely, that the data are drawn from a population with a specific (normal) distribution. Non-parametric tests make fewer assumptions about the data set. Parametric has a standard dissemination that provides more inferences and the design can be statistically defined also known as

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture

  • Left Quote Icon

    Student Picture