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To find the **mean** number of newspapers bought, we need to apply the formula for the mean of a frequency distribution:

\[
\text{Mean} = \frac{\sum (x \times f)}{\sum f}
\]

Where:
- \(x\) is the number of newspapers bought.
- \(f\) is the frequency (how many people bought that number of newspapers).

From the table:
- For 0 newspapers: \(x = 0\), \(f = 8\)
- For 1 newspaper: \(x = 1\), \(f = 3\)
- For 2 newspapers: \(x = 2\), \(f = 0\)
- For 3 newspapers: \(x = 3\), \(f = 4\)

Now, we calculate \( \sum (x \times f) \) and \( \sum f \):

\[
\sum (x \times f) = (0 \times 8) + (1 \times 3) + (2 \times 0) + (3 \times 4) = 0 + 3 + 0 + 12 = 15
\]

\[
\sum f = 8 + 3 + 0 + 4 = 15
\]

Now, calculate the mean:

\[
\text{Mean} = \frac{15}{15} = 1
\]

The mean number of newspapers bought per person is **1**.

Would you like any further details on this process?

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Here are some related questions for further practice:
1. How would the mean change if the frequency for buying 3 newspapers increased to 6?
2. What is the median number of newspapers bought based on this data?
3. How would you calculate the mode of this dataset?
4. How could you represent this data graphically to compare the frequencies of different newspapers bought?
5. What would the mean be if all frequencies were doubled?

**Tip:** When calculating the mean, always ensure you correctly sum both the values and the frequencies to avoid errors!

Lily asked a group of people how many newspapers they bought in one week. The results from her survey are shown. What is the mean number of newspapers each person bought?

Learn how to calculate the mean number of newspapers bought using a frequency table. This statistical problem involves summing the product of newspapers bought and their frequency and dividing by the total frequency. Suitable for Grades 5-7.

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