The image you've uploaded appears to be a statistics activity sheet focused on measures of central tendency, specifically dealing with grouped data and computing the mean, median, mode, standard deviation, and coefficient of variation.

Here’s a breakdown of the key sections of the document:

1. Objectives:

   • To calculate measures of central tendency for two data sets.
   • To understand the grouped frequency distribution for the given data.

2. Procedure:

   • Group the data sets in intervals.
   • Compute the measures of central tendency: mean, median, mode.
   • Compute the dispersion measures: standard deviation, coefficient of variation.

3. Data Sets: Two sets of data are provided, likely for analysis.

   • First data set: $11, 16, 21, 31, 24, 22, 22, 16, 16, 21, 19, 16, 13, 16, 13, 18, 12, 12, 13, 16$
   • Second data set: $51, 53, 55, 55, 55, 55, 56, 58, 58, 60, 61, 61, 62, 64, 67, 68, 69, 71, 72, 73$

4. Tasks:

   • Group the data into intervals and calculate the following for each set:
     • Mean
     • Median
     • Mode
     • Standard Deviation
     • Coefficient of Variation

I can help you solve these tasks step by step. Would you like to start with grouping the data into intervals and computing the mean? Let me know if you have specific parts you would like to prioritize.

Here are 5 relative questions to expand on the topic:

1. How do you determine the best intervals for grouped data?
2. Why are the mean, median, and mode important for understanding a data set?
3. What are the main differences between grouped and ungrouped data in statistical analysis?
4. Can the mean be affected more by outliers than the median or mode?
5. How does the coefficient of variation provide insight into the variability of data?

Tip: When calculating standard deviation, remember that it's a measure of how spread out numbers are around the mean. The smaller the standard deviation, the closer the data points are to the mean.