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The problem from the image provides two main tasks related to a dataset \( D \) consisting of 35 integer values. The tasks involve analyzing the frequency distribution (shown via a histogram) and computing specific statistical measures.

### Summary of Tasks:
1. **Quantity A:** Calculate the **average (arithmetic mean)** of the values in dataset \( D \).
2. **Quantity B:** Determine the **median** of the values in dataset \( D \).

The histogram depicts how the data is distributed across different intervals, and we need to work through it to compute the necessary values.

### Histogram Data:
The histogram shows frequency for each value range. The frequency for each interval is as follows:

- \( 26 \leq \text{Value} < 31 \): 3
- \( 31 \leq \text{Value} < 36 \): 5
- \( 36 \leq \text{Value} < 41 \): 6
- \( 41 \leq \text{Value} < 46 \): 3
- \( 46 \leq \text{Value} < 51 \): 2
- \( 51 \leq \text{Value} \): 16

### Next Steps:
1. **Calculate the Mean (Quantity A):**
   To calculate the mean, we would first need the midpoints of each interval, which we can then multiply by the frequency and divide by the total number of values (35).

2. **Determine the Median (Quantity B):**
   Since there are 35 values, the median is the 18th value when the dataset is arranged in ascending order. We would locate the interval containing the 18th value based on cumulative frequencies.

Shall I proceed with these calculations for you?

Given a histogram representing the frequency distribution of a dataset D of 35 integer values, calculate the mean (Quantity A) and the median (Quantity B).

Solve a problem involving the calculation of the mean and median from a dataset represented by a histogram. This problem requires understanding of key statistical concepts like arithmetic mean and median, based on a frequency distribution of 35 integer values.

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