Before running statistical analyses, researchers should check their data for:
A)skewness
B)missing data
C)outliers
D)all of the above

Question

Quizplus · Accepted Answer

Researchers should check their data for skewness, as it can affect the interpretation of statistics. Missing data can also impact the validity of statistical analyses, so it is important to identify and address any missing data prior to conducting analyses. Outliers are data points that are significantly different from other data points in the dataset, and they can have a large influence on the results of statistical analyses. Therefore, it is important to check for and potentially address outliers before conducting statistical analyses. Overall, it is important to check for all of these factors in order to ensure the accuracy and validity of statistical analyses.

Before Running Statistical Analyses, Researchers Should Check Their Data For