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To solve this problem, we need to calculate the **mean** number of items bought by customers over both days. The mean is found by dividing the total number of items bought by the total number of customers across both days.

### Step 1: Sum the number of items bought
From the table:
- On **Saturday**, the number of items bought is: \( 5 + 7 + 3 + 1 = 16 \)
- On **Sunday**, the number of items bought is: \( 3 + 4 + 5 + 2 = 14 \)

So, the total number of items bought across both days is:
\[
16 + 14 = 30
\]

### Step 2: Count the total number of customers
There are 4 customers for each day (Saturday and Sunday), so the total number of customers across both days is:
\[
4 + 4 = 8
\]

### Step 3: Calculate the mean
Now, calculate the mean number of items bought per customer by dividing the total number of items by the total number of customers:
\[
\text{Mean} = \frac{30}{8} = 3.75
\]

Thus, the mean number of items bought by each customer is **3.75**.

Would you like any further details or clarifications?

### Related questions:
1. How do you calculate the median in a data set like this?
2. What is the mode of the number of items bought over the two days?
3. How would you calculate the range of items bought from the data provided?
4. Can you explain how to compute the weighted mean if weights were provided?
5. How would the mean change if one additional customer bought 4 items on both days?

#### Tip:
When calculating a mean, always ensure that the total number of data points (customers in this case) is correct before dividing.

Jacob recorded the number of items bought by each customer in a clothes shop over two days. His results are shown in the table below. Work out the mean number of items bought by each customer. Give your answer as a decimal.

Learn how to calculate the mean number of items bought by each customer in a clothes shop over two days. This problem involves summing items bought on Saturday and Sunday and dividing by the total number of customers. Suitable for students in Grades 5-7.

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