TV Viewing Refer to the data set given in Exercise 31 and the box-and-
whisker plot you drew that represents the data set.
(a) About 75% of the people watched no more than how many hours of
television per day?
(b) What percent of the people watched more than 4 hours of television per
day?
(c) If you randomly selected one person from the sample, what is the 
likelihood that the person watched less than 2 hours of television per
day? Write your answer as a percent.draw for this Q1,Q2,Q3

Let's tackle the questions one by one, and I’ll also help you understand how to interpret the given box-and-whisker plot in the context of TV viewing data.

### Assumptions Based on Typical Box-and-Whisker Plot Interpretation:
- **Q1 (First Quartile):** The value below which 25% of the data lies.
- **Q2 (Median):** The value below which 50% of the data lies.
- **Q3 (Third Quartile):** The value below which 75% of the data lies.

Let's assume the quartile values from a generic example:

- **Q1:** 2 hours
- **Q2:** 3 hours
- **Q3:** 4 hours

Now, let's answer each part.

### (a) About 75% of the people watched no more than how many hours of television per day?

- **Answer:** \( Q3 \) is the value where 75% of the data lies below it. Based on our assumption, \( Q3 = 4 \) hours.
- **So, 75% of the people watched no more than 4 hours of TV per day.**

### (b) What percent of the people watched more than 4 hours of television per day?

- Since 75% watched **4 hours or less**, the remaining **25% watched more than 4 hours** per day.

### (c) If you randomly selected one person from the sample, what is the likelihood that the person watched less than 2 hours of television per day? Write your answer as a percent.

- **Answer:** \( Q1 \) is the value where 25% of the data lies below it. If \( Q1 = 2 \) hours, then the likelihood that a person watched less than 2 hours of TV is **25%**.

### Drawing for Q1, Q2, Q3:
To visualize the dataLet's tackle the questions one by one, and I’ll also help you understand how to interpret the given box-and-whisker plot in the context of TV viewing data.

### Assumptions Based on Typical Box-and-Whisker Plot Interpretation:
- **Q1 (First Quartile):** The value below which 25% of the data lies.
- **Q2 (Median):** The value below which 50% of the data lies.
- **Q3 (Third Quartile):** The value below which 75% of the data lies.

Let's assume the quartile values from a generic example:

- **Q1:** 2 hours
- **Q2:** 3 hours
- **Q3:** 4 hours

Now, let's answer each part.

### (a) About 75% of the people watched no more than how many hours of television per day?

- **Answer:** \( Q3 \) is the value where 75% of the data lies below it. Based on our assumption, \( Q3 = 4 \) hours.
- **So, 75% of the people watched no more than 4 hours of TV per day.**

### (b) What percent of the people watched more than 4 hours of television per day?

- Since 75% watched **4 hours or less**, the remaining **25% watched more than 4 hours** per day.

### (c) If you randomly selected one person from the sample, what is the likelihood that the person watched less than 2 hours of television per day? Write your answer as a percent.

- **Answer:** \( Q1 \) is the value where 25% of the data lies below it. If \( Q1 = 2 \) hours, then the likelihood that a person watched less than 2 hours of TV is **25%**.

### Drawing for Q1, Q2, Q3:
To visualize the 

- **Q1:** 2 hours (25% of data lies below this point)
- **Q2 (Median):** 3 hours (50% of data lies below this point)
- **Q3:** 4 hours (75% of data lies below this point)

Would you like me to generate a specific box-and-whisker plot based on this data?

Explore TV viewing statistics using box-and-whisker plots. Answer key questions about TV viewing habits based on data analysis. Learn about quartiles, medians, and percentile interpretations. Suitable for Grades 9-12.

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