Here are the results based on the data of ages provided:

a. Mean:

The mean age is approximately 26.47.

b. Median:

The median age is 23.5.

c. Mode(s):

The mode (most frequent age) is 21.

d. Standard Deviation:

The standard deviation is approximately 8.23.

e. Range:

The range is 35 (52 - 17).

f. Q1 (First Quartile):

Q1 (25th percentile) is 20.0.

g. Q3 (Third Quartile):

Q3 (75th percentile) is 32.0.

h. IQR (Interquartile Range):

The IQR is 12.0 (32 - 20).

i. Boxplot:

A boxplot has been generated showing the data distribution, including potential outliers.

j. Symmetry/Skewness:

The data is right-skewed (mean > median), meaning there are more values on the lower end with a few larger values pulling the mean upwards.

Would you like more details or have any questions?

Here are 5 follow-up questions:

1. How is the standard deviation affected by extreme values (outliers)?
2. What does the interquartile range tell us about the spread of the middle 50% of the data?
3. How would removing outliers impact the skewness of the data?
4. What can the mode tell us about the typical age in the dataset?
5. How does the range of a dataset differ from the interquartile range?

Tip: The standard deviation helps understand how much individual data points deviate from the mean on average.