Question

(08.06) Data are collected about the amount of time, in minutes, each band member spends practicing. How does a single outlier change the lower and upper quartiles of the collected data? (4 points) A single outlier causes the values of the quartiles to move slightly toward each other. A single outlier causes the values of the quartiles to move slightly away from the outlier. A single outlier doubles the values of the quartiles. A single outlier does not affect the values of the quartiles.

Answer 1

its A a single outlier causes the upper quartiles to move close together


im pretty sure

Answer 2

The correct option is Option D) A single outlier does not affect the values of the quartiles.

Explanation:

Consider the provided information.

The difference between the upper (Q3) and lower (Q1) quartiles is known as interquartile range (IQR)

It descibed the middle 50% of values when ordered from lowest to highest or from the highest to the lowest.

It is known as the better measure of spread as compare to the range, because it is not affected by the outliers.

Thus, we see that a single outlier does not affect the values of the quartiles.