The image you've uploaded shows a question about determining whether a given distribution is normal or not. The data provided is for sizes and their corresponding frequencies:

• Sizes: 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
• Frequencies: 5, 8, 12, 20, 15, 8, 3, 1, 2, 1

To determine if the distribution is normal, we typically need to look at the following:

1. Mean and Standard Deviation: Calculate the mean and standard deviation to see if the distribution roughly follows a bell curve.
2. Shape of the Distribution: Plot the data to visually inspect if it looks symmetric and bell-shaped.
3. Skewness and Kurtosis: Compute skewness and kurtosis to assess the asymmetry and sharpness of the distribution.
4. Normality Tests: Apply statistical tests (such as the Shapiro-Wilk test) to check for normality.

Would you like to proceed with calculations for the mean, standard deviation, or further analysis on this distribution? Let me know how you'd like to continue!

Here are 5 related questions you might find useful:

1. How do you calculate the mean and standard deviation of this dataset?
2. What does a bell-shaped curve tell us about the normal distribution?
3. What is skewness, and how does it indicate if a distribution is normal?
4. How do I visually plot a frequency distribution to check for normality?
5. What is the Shapiro-Wilk test, and how is it used to test normality?

Tip: The closer the frequencies are symmetrically arranged around the center, the more likely the distribution is normal.