Chapter 15, Problem 52E

For Exercises 51 through 54, you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier> $Q_3$ + l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier < $Q_1$ — l.5(IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.)

Using the preceding definition, find the outliers (if there are any) in the City of Cleansburg Fire Department data set discussed in Exercises 30 and 37. (Hint: Do Exercise 37 first.)

Table 15-20 shows ages of the firefighters in the Cleansburg fire department.

Table 15-20

Age	25	27	28	29	30
Frequency	2	7	6	9	15
Age	31	32	33	37	39
Frequency	12	9	9	6	4

For Exercises 51 through 54, you should use the following definition of an outlier: An outlier is any data value that is above the third quartile by more than 1.5 times the IQR [Outlier> $Q_3$ + l.5(IQR)] or below the first quartile by more than 1.5 times the IQR [Outlier < $Q_1$ — l.5(IQR)]. (Note: There is no one universally agreed upon definition of an outlier; this is but one of several definitions used by statisticians.)

Using the preceding definition, find the outliers (if there are any) in the City of Cleansburg Fire Department data set discussed in Exercises 30 and 37. (Hint: Do Exercise 37 first.)

Table 15-20 shows ages of the firefighters in the Cleansburg fire department.

Table 15-20

Age	25	27	28	29	30
Frequency	2	7	6	9	15
Age	31	32	33	37	39
Frequency	12	9	9	6	4