Quartiles and Box Plots - Data Science Discovery

Calculating & Interpreting Quartiles

Quartiles & Interquartile Range | Calculation & Examples

c) Find the first quartile (Q,) and the third quartile distribu... | Filo

A data set has a first quartile of 42 and a third quartile of 50 . Compute the lower and upper limits for the corresponding box plot. Should a data value of 65 be considered an outlier? | Numerade

The data set [6, 19, 33, 33, 39, 41, 41, 43, 51, 57] has a median Q2 = 40, first quartile Q1 = 33, and third quartile Q3 = 43. An outlier in a data set is a value that is more than 1.5 times the interquartile range below the first quartile (Q1) or more than 1.5 times the interquartile range above the third quartile (Q3), where the interquartile range is defined as Q3 - Q1. How many outliers does this data set have?