To find the frequencies for each class, you'll need the data that falls within each of these class limits. Typically, this would involve counting how many data points fall within each interval specified by the class limits.

However, from the image provided, it appears you need help filling in the frequency column. Without the actual data set, I can guide you on how to proceed if you have the dataTo find the frequencies for each class, you'll need the data that falls within each of these class limits. Typically, this would involve counting how many data points fall within each interval specified by the class limits.

However, from the image provided, it appears you need help filling in the frequency column. Without the actual data set, I can guide you on how to proceed if you have the

1. Collect the data points. Ensure you have the complete set of data that you are working with.
2. Sort the data. This can help in easily counting the data points that fall within each interval.
3. Count the data points for each class. Go through the data and count how many data points fall within each of the specified class limits.

For instance, if you have a data set, you can count the number of occurrences within:

• 70,000-87,916
• 87,917-105,833
• 105,834-123,750
• 123,751-141,667
• 141,668-159,584
• 159,585-177,501

Once you have the counts, you can fill in the frequency column.

If you provide the data set or specify the data points, I can assist you in calculating the frequencies directly.

Would you like to provide the data set or need further guidance on any specific part?

Here are five questions you might ask next:

1. How do I sort the data for frequency calculation?
2. How can I group the data points into class intervals automatically?
3. What are the steps to create a histogram from this frequency table?
4. How do I calculate relative frequencies from this frequency table?
5. Can you help me understand cumulative frequencies and how to calculate them?

Tip: When creating frequency tables, always ensure your class intervals are mutually exclusive to avoid overlapping counts.