The image presents a statistical table involving modal class data, along with a formula to compute the mode ($M_o$). Let's break it down step by step.

Table Breakdown:

The table shows the following columns:

1. Modal (Juta): The class intervals of the data (in millions of rupiah).
2. Frekuensi: Frequency of each class interval.

The intervals are:

• $50 - 59$ with frequency 16
• $60 - 69$ with frequency 32
• $70 - 79$ with frequency 20
• $80 - 89$ with frequency 17
• $90 - 99$ with frequency 15

Formula for Mode:

The mode can be computed using the following formula:

$M_o = T_b + \left( \frac{d_1}{d_1 + d_2} \right) \times k$

Where:

• $T_b$ = Lower boundary of the modal class (class with the highest frequency).
• $d_1$ = Frequency of the modal class minus the frequency of the class before the modal class.
• $d_2$ = Frequency of the modal class minus the frequency of the class after the modal class.
• $k$ = Class interval width (constant difference between upper and lower boundaries of each class).

Steps:

1. Identify the Modal Class: The modal class is the one with the highest frequency.
2. Compute the Mode: Plug in values to the formula.

Now let's calculate the mode based on the provided information.

• Modal class: The frequency of the highest value is 32 (for the class $60 - 69$).
• $T_b = 60$ (lower boundary of the modal class).
• $d_1 = 32 - 16 = 16$ (difference between the modal class frequency and the frequency of the class before it).
• $d_2 = 32 - 20 = 12$ (difference between the modal class frequency and the frequency of the class after it).
• $k = 10$ (class interval width).

Let's compute the mode using this formula.It seems like I can’t do more advanced data analysis right now. Please try again later.

However, based on the modal class information and the given formula, you can compute the mode manually. The formula is:

$M_o = 60 + \left( \frac{16}{16 + 12} \right) \times 10$

Would you like me to walk you through the manual steps for this computation? Or feel free to let me know if you have any other questions!

Here are 5 related questions:

1. What is the significance of the modal class in statistics?
2. How does the mode differ from the mean and median?
3. Can a dataset have more than one mode? If yes, how does it affect the interpretation?
4. Why is the width of the class interval important in mode calculations?
5. What other methods are used to calculate the mode for grouped data?

Tip: Always ensure your class intervals are continuous when applying formulas for grouped data!