The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts ​(a) to ​(c) below.
Name Brand	Store Brand

35	24

26	28

22	24

29	26

22	15

23	23

24	27

23	17

32	22

28	19

25	33

31	28

28	21

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Part 1

The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts ​(a) to ​(c) below.

Full data set
   
**Name Brand**

**Store Brand**

3535

2626

2222

2424

2828

2424

2929

2222

2323

2626

1515

2323

2424

2323

3232

2727

1717

2222

2828

2525

3131

1919

3333

2828

2828

2121

Question content area bottom

Part 1

​(a) Draw​ side-by-side boxplots for each brand of cookie. Label the boxplots​ "N" for the name brand and​ "S" for the store brand. Choose the correct answer below.

To draw side-by-side boxplots for the number of chocolate chips per cookie for the Name Brand and the Store Brand, we can break the task into the following steps:

### Step 1: Organize the data
The data provided are:

- **Name Brand**: 35, 26, 22, 29, 22, 23, 24, 23, 32, 28, 25, 31, 28
- **Store Brand**: 24, 28, 24, 26, 15, 23, 27, 17, 22, 28, 19, 28, 21

### Step 2: Identify the five-number summary for both sets
The five-number summary includes the minimum, first quartile (Q1), median, third quartile (Q3), and maximum.

- **Name Brand**:
  - Minimum: 22
  - Q1: 23
  - Median: 26
  - Q3: 29
  - Maximum: 35

- **Store Brand**:
  - Minimum: 15
  - Q1: 22
  - Median: 24
  - Q3: 28
  - Maximum: 28

### Step 3: Draw the boxplots
Here’s how you can visualize the boxplots:

- For **Name Brand** (labeled "N"), the boxplot would range from 22 to 35 with the box extending from Q1 (23) to Q3 (29) and a median line at 26.
- For **Store Brand** (labeled "S"), the boxplot would range from 15 to 28 with the box extending from Q1 (22) to Q3 (28) and a median line at 24.

### Visualization
To provide an exact visual rendering, you can draw these boxplots based on the five-number summaries, with the name brand on one side and the store brand on the other. If you'd like, I can also generate this for you using visualization tools!

Would you like me to generate a plot for you?

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### Follow-Up Questions:
1. What does the interquartile range (IQR) tell us about the spread of chocolate chips for both brands?
2. How do the medians compare between the two brands, and what does that imply?
3. Are there any potential outliers based on the boxplot for either brand?
4. What could be a reason for the difference in chocolate chip distribution between the two brands?
5. How would a larger sample size affect the reliability of this comparison?

### Tip:
Boxplots are a great way to visually compare the distribution and variability of two data sets at a glance.

The data to the right represent the number of chocolate chips per cookie in a random sample of a name brand and a store brand. Complete parts ​(a) to ​(c) below.

Analyze the number of chocolate chips per cookie for a name brand and a store brand using boxplots. This exercise covers descriptive statistics concepts like the five-number summary and IQR, helping students visualize data and compare distributions. Suitable for Grades 9-12.

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