which data sets have outliers? check all that apply. 14, 21, 24, 25, 27, 32, 35 15, 30, 35, 41, 44, 50, 78…

Explanation:

Step1: Recall outlier concept

Outliers are data - points that are far from other data points. One way to identify outliers is by using the inter - quartile range (IQR). But a simple visual inspection can also help. In a relatively evenly - spaced data set, a value that is much larger or smaller than the others is likely an outlier.

Step2: Analyze first data set

In the set 14, 21, 24, 25, 27, 32, 35, the values are relatively evenly spaced, no extreme values.

Step3: Analyze second data set

In the set 15, 30, 35, 41, 44, 50, 78, 78 is much larger than the other values, so it has an outlier.

Step4: Analyze third data set

In the set 16, 32, 38, 39, 41, 42, 58, 58 is relatively far from the other values, so it has an outlier.

Step5: Analyze fourth data set

In the set 17, 23, 28, 31, 39, 45, 75, 75 is much larger than the other values, so it has an outlier.

Step6: Analyze fifth data set

In the set 18, 30, 34, 38, 43, 45, 68, 68 is much larger than the other values, so it has an outlier.

Answer:

15, 30, 35, 41, 44, 50, 78; 16, 32, 38, 39, 41, 42, 58; 17, 23, 28, 31, 39, 45, 75; 18, 30, 34, 38, 43, 45, 68