How might the absence of data screening affect a researchers data quality, their interpretations of the data, and thereby their interpretations of their studys findings?

300 WORDS FOR EACH PROMPT BELOW:

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 researchers data quality, their interpretations of the data, and thereby their interpretations of their studys 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.