the following histogram summarizes the ages of the 25 employees who work for elons company. here is the five…

the following histogram summarizes the ages of the 25 employees who work for elons company. here is the five - number summary for these data: five - number summary min q1 median q3 max 13 31 38 42 62 according to the 1.5·iqr rule for outliers, how many high outliers are there in the data set?

the following histogram summarizes the ages of the 25 employees who work for elons company. here is the five - number summary for these data: five - number summary min q1 median q3 max 13 31 38 42 62 according to the 1.5·iqr rule for outliers, how many high outliers are there in the data set?

Answer

Explanation:

Step1: Calculate IQR

IQR = $Q_3 - Q_1$. Given $Q_1 = 31$ and $Q_3 = 42$, so IQR = $42 - 31=11$.

Step2: Calculate upper - fence

The upper - fence for outliers is given by $Q_3+1.5\times IQR$. So, $Q_3 + 1.5\times IQR=42+1.5\times11=42 + 16.5 = 58.5$.

Step3: Count high outliers

The maximum value in the data set is 62. Since $62>58.5$, there is 1 high outlier.

Answer:

1