he following data represent a sample of people's moking habits and their usage of seat belts while in ar. A researcher wants to determine whether smoki abits and seat belt usage are related. Test the esearcher's claim at the a = 0.05 level of ignificance. Smoke Do not Smoke Source: Harris Poll No Seat Belt Seat Belt 67 327 448 2,187 a. Determine the null and alternative hypotheses Ho Smoking habits and seat belt usag have the same distribution. Ha Smoking habits and seat belt usage follow a different distribution. Ho :Smoking habits and seat belt usage are independent. Ha: Smoking habits and seat belt usage are dependent.

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### Analysis of Smoking Habits and Seat Belt Usage

The following data represent a sample of people's smoking habits and their usage of seat belts while in a car. A researcher aims to determine whether there is a relationship between smoking habits and seat belt usage. The test is conducted at the \(\alpha = 0.05\) level of significance.

#### Data Table
|                      | No Seat Belt | Seat Belt |
|----------------------|--------------|-----------|
| **Smoke**            | 67           | 448       |
| **Do not Smoke**     | 327          | 2,187     |

*Source: Harris Poll*

#### Hypothesis Testing Steps

a. **Determine the null and alternative hypotheses.**

   - \( H_0 \) : Smoking habits and seat belt usage are independent.
   - \( H_a \) : Smoking habits and seat belt usage are dependent.

b. **Determine the test statistic.** 
   
   Round to two decimal places.
   
   \[
   \chi^2 = \_\_\_\_
   \]

c. **Determine the \( p \)-value.** 

   Round to four decimal places.
   
   \[
   p\text{-value} = \_\_\_\_
   \]

d. **Make a decision.**

   - \( \bigcirc \) Reject the null hypothesis.
   - \( \bigcirc \) Fail to reject the null hypothesis.

e. **Make a conclusion.**

   - \( \bigcirc \) There is sufficient evidence to support the claim that smoking habits and seat belt usage are related.
Transcribed Image Text:### Analysis of Smoking Habits and Seat Belt Usage The following data represent a sample of people's smoking habits and their usage of seat belts while in a car. A researcher aims to determine whether there is a relationship between smoking habits and seat belt usage. The test is conducted at the \(\alpha = 0.05\) level of significance. #### Data Table | | No Seat Belt | Seat Belt | |----------------------|--------------|-----------| | **Smoke** | 67 | 448 | | **Do not Smoke** | 327 | 2,187 | *Source: Harris Poll* #### Hypothesis Testing Steps a. **Determine the null and alternative hypotheses.** - \( H_0 \) : Smoking habits and seat belt usage are independent. - \( H_a \) : Smoking habits and seat belt usage are dependent. b. **Determine the test statistic.** Round to two decimal places. \[ \chi^2 = \_\_\_\_ \] c. **Determine the \( p \)-value.** Round to four decimal places. \[ p\text{-value} = \_\_\_\_ \] d. **Make a decision.** - \( \bigcirc \) Reject the null hypothesis. - \( \bigcirc \) Fail to reject the null hypothesis. e. **Make a conclusion.** - \( \bigcirc \) There is sufficient evidence to support the claim that smoking habits and seat belt usage are related.
### Hypothesis Testing Example from MyOpenMath

**Problem Statement:**

You are tasked with determining the relationship between smoking habits and seat belt usage. Follow these steps to hypothesize, calculate, and conclude your findings.

---

#### a. Determine the null and alternative hypotheses.

There are two sets of hypotheses provided. Choose the appropriate one based on the nature of the study. 

1. 
   - \( H_0 \): Smoking habits and seat belt usage have the same distribution.
   - \( H_a \): Smoking habits and seat belt usage follow a different distribution.

2. 
   - \( H_0 \): Smoking habits and seat belt usage are independent.
   - \( H_a \): Smoking habits and seat belt usage are dependent.

---

#### b. Determine the Test Statistic. Round to two decimal places.

\[ \chi^2 = \boxed{\phantom{0.00}} \]

---

#### c. Determine the \( p \)-value. Round to four decimal places.

\[ p\text{-value} = \boxed{\phantom{0.0000}} \]

---

#### d. Make a decision.

Choose one of the following based on the calculated test statistic and \( p \)-value:

- \( \circ \) Reject the null hypothesis.
- \( \bullet \) Fail to reject the null hypothesis.

---

#### e. Make a conclusion.

Based on the decision made in part (d), select the correct conclusion:

- \( \circ \) There is sufficient evidence to support the claim that smoking habits and seat belt usage are related.
- \( \circ \) There is not sufficient evidence to support the claim that smoking habits and seat belt usage are related.

---

**Note:** This is an educational exercise in hypothesis testing, specifically focusing on the independence of two categorical variables and using the chi-square (\( \chi^2 \)) test.
Transcribed Image Text:### Hypothesis Testing Example from MyOpenMath **Problem Statement:** You are tasked with determining the relationship between smoking habits and seat belt usage. Follow these steps to hypothesize, calculate, and conclude your findings. --- #### a. Determine the null and alternative hypotheses. There are two sets of hypotheses provided. Choose the appropriate one based on the nature of the study. 1. - \( H_0 \): Smoking habits and seat belt usage have the same distribution. - \( H_a \): Smoking habits and seat belt usage follow a different distribution. 2. - \( H_0 \): Smoking habits and seat belt usage are independent. - \( H_a \): Smoking habits and seat belt usage are dependent. --- #### b. Determine the Test Statistic. Round to two decimal places. \[ \chi^2 = \boxed{\phantom{0.00}} \] --- #### c. Determine the \( p \)-value. Round to four decimal places. \[ p\text{-value} = \boxed{\phantom{0.0000}} \] --- #### d. Make a decision. Choose one of the following based on the calculated test statistic and \( p \)-value: - \( \circ \) Reject the null hypothesis. - \( \bullet \) Fail to reject the null hypothesis. --- #### e. Make a conclusion. Based on the decision made in part (d), select the correct conclusion: - \( \circ \) There is sufficient evidence to support the claim that smoking habits and seat belt usage are related. - \( \circ \) There is not sufficient evidence to support the claim that smoking habits and seat belt usage are related. --- **Note:** This is an educational exercise in hypothesis testing, specifically focusing on the independence of two categorical variables and using the chi-square (\( \chi^2 \)) test.
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