By analyzing the boxplot, we know that on average, students scored 25 points better on the post - test than on the pre - test.
What is boxplot?
A boxplot is a standardized way of displaying the distribution of data based on a five number summary (“minimum”, first quartile (Q1), median, third quartile (Q3), and “maximum”).
The middle line of the boxplot represents the median or the central tendency.
Average pre - test score of students = 30
Average post - test score of students = 55
Average difference in the scores of students pre and post test = 55 - 30 = 25
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