https://file.aiquickdraw.com/mathbot/file/1729491424568w902xrzn.jpg

Let’s analyze the ice cream shop data from the image and answer the questions provided.

### 1.1 **Categorical Data**
- **Answer**: The variable representing categorical data is **flavor**. Categorical data refers to variables that are divided into categories or groups. In this case, the ice cream shop offers different **flavors** (Strawberry, Vanilla, Peppermint, and Chocolate), and these are distinct categories.

### 1.2 **Numeric Data**
- **Answer**: The variable representing numeric data is the **number of cones sold**. Numeric data consists of numbers and measures, and in this case, it refers to the count of cones sold for each flavor.

### 1.3 **Frequency Table**
We can organize the sales data from the image into a frequency table. Let’s first count the cones for each flavor:

- **Chocolate**: 18 cones
- **Peppermint**: 12 cones
- **Strawberry**: 16 cones
- **Vanilla**: 14 cones

Now, we calculate the total number of cones sold:
\[
\text{Total cones} = 18 (\text{Chocolate}) + 12 (\text{Peppermint}) + 16 (\text{Strawberry}) + 14 (\text{Vanilla}) = 60 \text{ cones}
\]

To find the percentage each flavor represents, we use the formula:
\[
\text{Percentage} = \left(\frac{\text{Flavor count}}{\text{Total cones}}\right) \times 100
\]

Here is the frequency table:

| Flavor      | Number of Cones Sold | Percentage (%) |
|-------------|----------------------|----------------|
| Chocolate   | 18                   | 30%            |
| Peppermint  | 12                   | 20%            |
| Strawberry  | 16                   | 26.67%         |
| Vanilla     | 14                   | 23.33%         |
| **Total**   | 60                   | **100%**       |

Let me know if you'd like further details or calculations!

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### 5 Related Questions:
1. How can the frequency of sales data help improve inventory decisions in the ice cream shop?
2. What trends might the shop look for over time using categorical and numerical data?
3. How could customer preferences for flavors be tracked seasonally?
4. If the shop introduces a new flavor, how should it update its analysis?
5. How might the shop use these percentages in marketing and promotions?

**Tip**: Use bar charts to visualize categorical data frequencies for quick interpretation of sales trends.

Suppose you are the manager of an ice cream shop, and you are analyzing the sales data from the last week to better understand the shop’s performance. Your shop offers 4 different flavors of ice cream: Strawberry, Vanilla, Peppermint, and Chocolate. You want to determine the average number of cones sold per flavor and analyze any trends in customer preferences to help with future decision-making.

Analyze the sales data from an ice cream shop with 4 flavors: Chocolate, Vanilla, Strawberry, and Peppermint. Learn how to organize the data into a frequency table and calculate the percentage of total cones sold for each flavor. This problem focuses on statistical analysis, suitable for Grades 7-9.

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