Question

6. How can a box and whiskers plot (or boxplot) be used to look for potential outliers? 7. How can you identify and remedy the following: errors in data entry, outliers, and missing data? 8. Why is it important to assess whether missing values are randomly distributed throughout the participants and measures? Or in other words, why is it important to understand what processes lead to missing values? 9. Why are log transformations sometimes applied to scores? 10. Outline the information that should be included in an APA-style Results section.

Answer 1

dear student, please post the question one at a time.

6)

If a data value is very far away from the quartiles (either much less than or much greater than ), it is sometimes designated an outlier. Instead of being shown using the whiskers of the box-and-whisker plot, outliers are usually shown as separately plotted points.

The standard definition for an outlier is a number which is less than or greater than by more than 1.5 times the interquartile range ( ). That is, an outlier is any number less than or greater than