To solve this problem graphically, we need to create two separate ogives (cumulative frequency graphs) for the given dataTo solve this problem graphically, we need to create two separate ogives (cumulative frequency graphs) for the given

Steps for creating the ogives:

Part (a): First and Third Quartiles

• First Quartile (Q1): Represents the 25th percentile of the data.
• Third Quartile (Q3): Represents the 75th percentile of the data.

To determine these quartiles, we will:

1. Create a cumulative frequency table.
2. Plot the cumulative frequencies on a graph using the upper-class limits of the age groups.
3. Draw the ogive and locate Q1 and Q3 graphically.

Part (b): Central 50% Limit of the Age

The central 50% is the range from the first quartile to the third quartile, i.e., the middle 50% of the data. This can be obtained after calculating Q1 and Q3 and then identifying the age range that falls within this interval.

Let’s go through the steps in detail:

1. Organize the Data (Cumulative Frequency Table)

• The total frequency (total number of workers) is 200.

2. Graphical Solution (Ogive)

You will need to:

1. Plot the upper-class limits (24.5, 29.5, 34.5, etc.) on the x-axis.
2. Plot the cumulative frequencies on the y-axis.
3. Draw the ogive (a smooth curve connecting the plotted points).

3. Finding Quartiles and Central 50%

• To find the first quartile (Q1), locate 25% of 200 = 50th worker.
• To find the third quartile (Q3), locate 75% of 200 = 150th worker.
• The central 50% limit will be the age range between Q1 and Q3.

Do you need more help in plotting the graph and identifying the quartiles and central 50%, or shall I go ahead and provide further steps? Let me know if you have specific questions about how to construct the graph or interpret the results!