well as the final conclusion that addresses the original claim. Among 2106 passenger cars in a particular region, 225 had only rear license plates. Am 370 commercial trucks, 56 had only rear license plates. A reasonable hypothesis is that commercial trucks owners violate laws requiring front license plates at a higher rate than owners of passenger cars. Use a 0.10 significance level to test that hypothesis. a. Test the claim using a hypothesis test. TI- PI-P Identify the test statistic. (Round to two decimal places as needed.)

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identify the test statistics, p value, and confidence interval..

**Hypothesis Testing of License Plate Violations**

**Problem Statement:**

Test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, p-value, and then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. 

**Data:**

- Among 370 commercial trucks, 56 had only rear license plates.
- Among 2106 passenger cars in a particular region, 225 had only rear license plates.

A reasonable hypothesis is that commercial truck owners violate laws requiring front license plates at a higher rate than owners of passenger cars. Use a \(0.10\) significance level to test that hypothesis.

**Instructions:**

a. Test the claim using a hypothesis test.

**Hypotheses:**

- **Null Hypothesis (\(H_0\))**: \( p_1 \leq p_2 \)
  - (The proportion of commercial trucks with only rear plates is less than or equal to the proportion of passenger cars with only rear plates.)
  
- **Alternative Hypothesis (\(H_1\))**: \( p_1 > p_2 \)
  - (The proportion of commercial trucks with only rear plates is greater than the proportion of passenger cars with only rear plates.)

**Formula for Test Statistic:**

\[ Z = \frac{(\hat{p_1} - \hat{p_2}) - 0}{\sqrt{\hat{p}(1-\hat{p})(\frac{1}{n_1} + \frac{1}{n_2})}} \]

where:

- \(\hat{p_1} = \frac{x_1}{n_1}\) and \(\hat{p_2} = \frac{x_2}{n_2}\) are the sample proportions.
- \(\hat{p} = \frac{x_1 + x_2}{n_1 + n_2}\) is the pooled proportion.

**Identification of Test Statistic:**

\[ \hat{p_1} = \frac{56}{370} \]
\[ \hat{p_2} = \frac{225}{2106} \]
\[ \hat{p} = \frac{56 + 225}{370 + 2106} \]

**Steps to Complete:**

1. Calculate the sample proportions (\(\hat{p_1}\), \(\hat{p
Transcribed Image Text:**Hypothesis Testing of License Plate Violations** **Problem Statement:** Test the given claim. Identify the null hypothesis, alternative hypothesis, test statistic, p-value, and then state the conclusion about the null hypothesis, as well as the final conclusion that addresses the original claim. **Data:** - Among 370 commercial trucks, 56 had only rear license plates. - Among 2106 passenger cars in a particular region, 225 had only rear license plates. A reasonable hypothesis is that commercial truck owners violate laws requiring front license plates at a higher rate than owners of passenger cars. Use a \(0.10\) significance level to test that hypothesis. **Instructions:** a. Test the claim using a hypothesis test. **Hypotheses:** - **Null Hypothesis (\(H_0\))**: \( p_1 \leq p_2 \) - (The proportion of commercial trucks with only rear plates is less than or equal to the proportion of passenger cars with only rear plates.) - **Alternative Hypothesis (\(H_1\))**: \( p_1 > p_2 \) - (The proportion of commercial trucks with only rear plates is greater than the proportion of passenger cars with only rear plates.) **Formula for Test Statistic:** \[ Z = \frac{(\hat{p_1} - \hat{p_2}) - 0}{\sqrt{\hat{p}(1-\hat{p})(\frac{1}{n_1} + \frac{1}{n_2})}} \] where: - \(\hat{p_1} = \frac{x_1}{n_1}\) and \(\hat{p_2} = \frac{x_2}{n_2}\) are the sample proportions. - \(\hat{p} = \frac{x_1 + x_2}{n_1 + n_2}\) is the pooled proportion. **Identification of Test Statistic:** \[ \hat{p_1} = \frac{56}{370} \] \[ \hat{p_2} = \frac{225}{2106} \] \[ \hat{p} = \frac{56 + 225}{370 + 2106} \] **Steps to Complete:** 1. Calculate the sample proportions (\(\hat{p_1}\), \(\hat{p
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