Based on the image, we have a frequency distribution table for grouped data. The intervals for the data are given along with their respective frequencies. The task is to determine:

1. Mean
2. Median
3. Mode

Steps to Solve:

1. Mean (Rata-rata):

We use the formula for the mean of grouped dataBased on the image, we have a frequency distribution table for grouped data. The intervals for the data are given along with their respective frequencies. The task is to determine:

1. Mean
2. Median
3. Mode

Steps to Solve:

1. Mean (Rata-rata):

We use the formula for the mean of grouped $\text{Mean} = \frac{\sum f_i x_i}{\sum f_i}$ Where:

• $f_i$ is the frequency for each group.
• $x_i$ is the midpoint of each group (calculated as the average of the class boundaries).

2. Median (Median):

For grouped data, the formula for the median is: $\text{Median} = L + \left( \frac{\frac{n}{2} - CF}{f} \right) \times h$ Where:

• $L$ is the lower boundary of the median class.
• $n$ is the total number of observations.
• $CF$ is the cumulative frequency of the class preceding the median class.
• $f$ is the frequency of the median class.
• $h$ is the class width.

3. Mode (Modus):

For grouped data, the mode is calculated using the formula: $\text{Mode} = L + \left( \frac{f_1 - f_0}{(f_1 - f_0) + (f_1 - f_2)} \right) \times h$ Where:

• $L$ is the lower boundary of the modal class.
• $f_1$ is the frequency of the modal class.
• $f_0$ is the frequency of the class before the modal class.
• $f_2$ is the frequency of the class after the modal class.
• $h$ is the class width.

Let's first compute the class midpoints and proceed with the calculations. I'll do that now.