https://file.aiquickdraw.com/mathbot/file/17267027070899v4r88i6.jpg

The bar graph above represents the number of students enrolled in each grade at a local high school.

### Question 2.2 (b): Shape of the Distribution
The distribution is **uniform** since the number of students across the grades is very similar, with only minor variations.

Would you like any further details on these solutions or explanations?

Here are some follow-up questions for deeper understanding:
1. How does skewness in a distribution affect its interpretation?
2. What are some other real-life examples of skew-left or skew-right distributions?
3. Can you describe how to calculate the mean and median for skewed data?
4. What could cause a uniform distribution like the one seen in student enrollment?
5. How might data collection errors affect the shape of a distribution?

**Tip:** When interpreting bar graphs, always consider the scale and whether the intervals between categories are consistent for accurate analysis.

A car salesman records the number of cars he sold each week for the month of January. The table shows sales for 5 weeks with frequencies of 5, 25, 15, 5, and 5. Draw a bar graph with week as the category. Describe the shape of the distribution (bell-shaped, uniform, skew-left, skew-right). Another question involves student enrollment data across four grades, 9th to 12th, and the task is to draw a bar graph and describe the distribution's shape.

Learn how to draw bar graphs for car sales data over five weeks and high school student enrollment across four grades. Analyze the distribution shape to determine if it's uniform, skew-left, or skew-right. This problem involves basic data visualization and descriptive statistics suitable for high school students.

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