- If given an extremely non-normal empirical frequency distribution, does it make sense for a researcher to find the percentile rank using the z score and the standard normal distribution table? Why or why not?
- Describe two distributions (other than normal) that a researcher might encounter in data and when.
- How might the absence of data screening affect a researcher’s data quality, their interpretations of the data, and thereby their interpretations of their study’s findings?
- What quantitative rule may be used to determine univariate outliers, and are there situations in which deleting a case/participant may be justified? Explain.
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