Before conducting inferential statistics, the researcher should:

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Before conducting inferential statistics, it is important for the researcher to examine the descriptive statistics of the data such as measures of central tendency, variability, and skewness. This provides a better understanding of the characteristics of the data and whether the assumptions of the statistical tests are met. However, performing "data snooping" may introduce bias and the calculation of effect sizes or confidence intervals should come after inferential statistics. Reporting the degrees of freedom is important but not the first step in preparing for inferential statistics.

Before Conducting Inferential Statistics, the Researcher Should