Statistic assumptions, pitfalls, and the illusion of credibility statistics can create
Kirk (2016) does not discuss specifics regarding statistical assumptions.
Provide at least 2 examples of specific statistical tools (examples include t-test, ANOVA, or linear regression)
Describe the assumptions associated with each of the tools and what the assumptions mean in your own words
What can the test tell you about your data? (examples include strength of a linear relationship or predict an outcome)
Explain each field in the output of each of the tools, as it would appear in R.
How can the data be misinterpreted? Explain.
Do not list the same tools as your peers. Provide references. Do not just regurgitate your references, offer insight and support your interpretations with evidence from references.
APA format, with references
