https://file.aiquickdraw.com/mathbot/file/17269011176696dv656h5.jpg

The stem-and-leaf plot in the image shows the data, where the stems represent the tens digits, and the leaves represent the ones digits. Let's break down the plot to extract the numbers:

- Stem 2: Leaves 6, 8, 9 → 26, 28, 29
- Stem 3: Leaves 1, 1 → 31, 31
- Stem 4: Leaves 2, 3, 3, 5 → 42, 43, 43, 45
- Stem 6: Leaves 4, 5, 5, 5, 6, 7, 8 → 64, 65, 65, 65, 66, 67, 68
- Stem 7: Leaves 2, 2, 2, 2, 3, 3, 4, 9 → 72, 72, 72, 72, 73, 73, 74, 79
- Stem 8: Leaves 0, 1, 7, 7, 8 → 80, 81, 87, 87, 88
- Stem 9: Leaves 6, 6 → 96, 96

Now we will list the numbers in order:
\[ 26, 28, 29, 31, 31, 42, 43, 43, 45, 64, 65, 65, 65, 66, 67, 68, 72, 72, 72, 72, 73, 73, 74, 79, 80, 81, 87, 87, 88, 96, 96 \]

### Median:
The total number of values is 31, which is odd. The median is the middle number, which is the 16th value in the ordered list.

\[ \text{Median} = 66 \]

### Range:
The range is the difference between the highest and lowest numbers.

\[ \text{Range} = 96 - 26 = 70 \]

Thus:
- **Median = 66**
- **Range = 70**

Would you like more details on how to interpret stem-and-leaf plots, or any questions on the steps?

Here are 5 related questions:
1. How do you find the mode of a stem-and-leaf plot?
2. Can you explain how quartiles can be determined from a stem-and-leaf plot?
3. What are the advantages of using a stem-and-leaf plot over a histogram?
4. How would you find the interquartile range (IQR) from the given data?
5. What does the shape of the data distribution tell us about the dataset?

**Tip:** In stem-and-leaf plots, always check for duplicate values when calculating the median or any other statistical measure.

In this stem-and-leaf plot, the stems represent tens and the leaves represent ones. Find the median and range of the data.

Learn how to find the median and range of a dataset using a stem-and-leaf plot. This example illustrates key statistical concepts such as the calculation of the median and range, making it ideal for students in Grades 6-8.

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