It looks like you're working on constructing a grouped frequency distribution table (GFDT) for the provided dataset, aiming to create 10 classes with a consistent class width. To verify the frequency entries in each interval, I can guide you on how to count the numbers within each range or help calculate the class width if you need clarification.

Would you like a breakdown of how to calculate frequencies or determine the correct class limits?

Here are some related questions you might explore:

1. How do you determine an appropriate class width for a dataset?
2. How can you identify errors in frequency distribution entries?
3. What’s the process for choosing class intervals in a grouped frequency table?
4. How do you handle outliers when constructing a frequency distribution table?
5. What are the benefits of using closed intervals in discrete data?

Tip: Ensure each value in the dataset falls into one, and only one, of the intervals to avoid miscounting.