Use the box plots comparing the number of males and number of females attending the latest superhero movie each day for a month to answer the questions.

Two box plots shown. The top one is labeled Males. Minimum at 0, Q1 at 1, median at 20, Q3 at 25, maximum at 50. The bottom box plot is labeled Females. Minimum at 0, Q1 at 5, median at 6, Q3 at 10, maximum at 18 and a point at 43

Part A: Estimate the IQR for the males' data. (2 points)

Part B: Estimate the difference between the median values of each data set. (2 points)

Part C: Describe the distribution of the data and if the mean or median would be a better measure of center for each. (4 points)

Part D: Provide a possible reason for the outlier in the data set. (2 points)

The IQR of the male dataset is 24.
The difference in median of both datasets is 14.
The best measure of center to use for the female box plot is the median.
The best measure of center to use for the male box plot is the mean.
A possible reason for an outlier is human error.

The given parameters are:

Male: Female

[tex]Minimum = 0[/tex] [tex]Minimum = 0[/tex]

[tex]Q_1 = 1[/tex] [tex]Q_1 = 5[/tex]

[tex]Median = 20[/tex] [tex]Median = 6[/tex]

[tex]Q_3 = 25[/tex] [tex]Q_3 = 10[/tex]

[tex]Maximum = 50[/tex] [tex]Maximum = 18[/tex]

A. IQR for male dataset

The IQR is calculated as follows:

[tex]IQR = Q_3 - Q_1[/tex]

For the male's data:

[tex]IQR = 25-1[/tex]

[tex]IQR = 24[/tex]

Hence, the IQR of the male dataset is 24.

B. Difference in median values

We have:

[tex]Median = 20[/tex] ----- Male dataset

[tex]Median = 6[/tex] ----- Female dataset

So, the difference (d) is:

[tex]d = 20 - 6[/tex]

[tex]d = 14[/tex]

Hence, the difference in median of both dataset is 14.

C. Best measure of center

The female box plot (see attachment) has an outlier. This means that the measure of center to use for the female dataset is the median.

The male box plot has no outlier; this means that the mean can be used as a measure of center for the male box plot

D. Reason for outlier

There are several reasons that could cause an outlier in a dataset. One of the reasons is human error during data entry