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? 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.

A single outlier does not affect the values of the quartiles.

Step-by-step explanation:

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

This IQR described  the middle 50% of values when ordered from lowest to highest or from the highest to the lowest.  

The IQR is considered  as a better measure of spread than the range as it is not affected by outliers.

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

It does not affect the value of the quartiles.

Step-by-step explanation:

dude ik my math

step-by-step explanation:

f(x) has value 150 at x= 0

and 0 at x= 3

so d(f(x))/dt = slope = -150/3 = -50