According to a certain government agency for a large country, the proportion of fatal traffic accidents in the country in which the driver had a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 109 traffic fatalities in a certain region results in 50 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the α = 0.01 level of significance? Because npo (1-Po) =10, the sample size is (Round to one decimal place as needed.) 5% of the population size, and the sample the requirements for testing the hypothesis ▼satisfied.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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According to a certain government agency for a large country, the proportion of fatal traffic accidents in the country in which the driver had a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 109 traffic fatalities in a certain region results in 50 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the α = 0.01 level of significance?

---

Because np₀(1 - p₀) = [  ] [Dropdown Menu] 10, the sample size is [Dropdown Menu] 5% of the population size, and the sample [Dropdown Menu] the requirements for testing the hypothesis [Dropdown Menu] satisfied.

(Round to one decimal place as needed.)

**Instructions for Completing Dropdowns:**

1. Fill in the calculations to determine if np₀(1 - p₀) is greater than or equal to 10.
2. Determine if the sample size is less than 5% of the population size.
3. Conclude if the sample meets the requirements for hypothesis testing.
Transcribed Image Text:**Text:** According to a certain government agency for a large country, the proportion of fatal traffic accidents in the country in which the driver had a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 109 traffic fatalities in a certain region results in 50 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the α = 0.01 level of significance? --- Because np₀(1 - p₀) = [ ] [Dropdown Menu] 10, the sample size is [Dropdown Menu] 5% of the population size, and the sample [Dropdown Menu] the requirements for testing the hypothesis [Dropdown Menu] satisfied. (Round to one decimal place as needed.) **Instructions for Completing Dropdowns:** 1. Fill in the calculations to determine if np₀(1 - p₀) is greater than or equal to 10. 2. Determine if the sample size is less than 5% of the population size. 3. Conclude if the sample meets the requirements for hypothesis testing.
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Follow-up Question
According to a government agency for a large country, the proportion of fatal traffic accidents involving drivers with a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 109 traffic fatalities in a certain region results in 50 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the α = 0.01 level of significance?

**Sample Size Check:**

Because \( n p_0 (1 - p_0) = 24.5 > 10 \), the sample size is less than 5% of the population size, and the sample is given to be random, the requirements for testing the hypothesis are satisfied. 

**Hypotheses:**

- Null Hypothesis (\( H_0 \)): \( p = 0.34 \)
- Alternative Hypothesis (\( H_1 \)): \( p > 0.34 \)

*Type integers or decimals. Do not round.*

**Test Statistic Calculation:** 

\( z_0 = 2.62 \) 
*(Round to two decimal places as needed.)*

**P-Value:**

P-value = \[ \ \]
*(Round to three decimal places as needed.)*
Transcribed Image Text:According to a government agency for a large country, the proportion of fatal traffic accidents involving drivers with a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 109 traffic fatalities in a certain region results in 50 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the α = 0.01 level of significance? **Sample Size Check:** Because \( n p_0 (1 - p_0) = 24.5 > 10 \), the sample size is less than 5% of the population size, and the sample is given to be random, the requirements for testing the hypothesis are satisfied. **Hypotheses:** - Null Hypothesis (\( H_0 \)): \( p = 0.34 \) - Alternative Hypothesis (\( H_1 \)): \( p > 0.34 \) *Type integers or decimals. Do not round.* **Test Statistic Calculation:** \( z_0 = 2.62 \) *(Round to two decimal places as needed.)* **P-Value:** P-value = \[ \ \] *(Round to three decimal places as needed.)*
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Follow-up Question
According to a certain government agency for a large country, the proportion of fatal traffic accidents in the country in which the driver had a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 109 traffic fatalities in a certain region results in 50 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the α = 0.01 level of significance?

---

Because \( np_0 (1 - p_0) = 24.5 > 10 \), the sample size is less than 5% of the population size, and the sample is given to be random, the requirements for testing the hypothesis are satisfied.

What are the null and alternative hypotheses?

\( H_0: \, p = 0.34 \) versus \( H_1: \, p > 0.34 \)

(Type integers or decimals. Do not round.)

Find the test statistic, \( z_0 \).

\( z_0 = \) _____ (Round to two decimal places as needed.)
Transcribed Image Text:According to a certain government agency for a large country, the proportion of fatal traffic accidents in the country in which the driver had a positive blood alcohol concentration (BAC) is 0.34. Suppose a random sample of 109 traffic fatalities in a certain region results in 50 that involved a positive BAC. Does the sample evidence suggest that the region has a higher proportion of traffic fatalities involving a positive BAC than the country at the α = 0.01 level of significance? --- Because \( np_0 (1 - p_0) = 24.5 > 10 \), the sample size is less than 5% of the population size, and the sample is given to be random, the requirements for testing the hypothesis are satisfied. What are the null and alternative hypotheses? \( H_0: \, p = 0.34 \) versus \( H_1: \, p > 0.34 \) (Type integers or decimals. Do not round.) Find the test statistic, \( z_0 \). \( z_0 = \) _____ (Round to two decimal places as needed.)
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Follow-up Question
**Hypothesis Testing for Proportion Problems in Traffic Fatalities**

In this example, a government agency reports that for a large country, the proportion of fatal traffic accidents involving drivers with a positive blood alcohol concentration (BAC) is 0.34. We have a random sample of 109 traffic fatalities from a specific region, in which 50 cases involved a positive BAC. The question is whether this region has a higher proportion of such traffic fatalities compared to the entire country, using a significance level of α = 0.01.

### Conditions Verification

- **Sample Size Condition**: 
  Calculate \( np_0 (1 - p_0) = 24.5 \). Since this value is greater than 10, the sample size condition is met.

- **Population Size Condition**: 
  The sample size is less than 5% of the entire population.

- **Random Sampling Condition**: 
  The sample is stated to be random.

Since all conditions are satisfied, the hypothesis test requirements are met.

### Hypotheses Formulation

- **Null Hypothesis (H₀)**: 
  \( p = 0.34 \) (The proportion of traffic fatalities involving a positive BAC in the region is equal to the national proportion.)

- **Alternative Hypothesis (H₁)**: 
  \( p > 0.34 \) (The proportion of traffic fatalities involving a positive BAC in the region is greater than the national proportion.)

By conducting this hypothesis test, we aim to determine if the region indeed has a higher incidence of BAC-related traffic fatalities compared to the national average, at a 1% level of significance.
Transcribed Image Text:**Hypothesis Testing for Proportion Problems in Traffic Fatalities** In this example, a government agency reports that for a large country, the proportion of fatal traffic accidents involving drivers with a positive blood alcohol concentration (BAC) is 0.34. We have a random sample of 109 traffic fatalities from a specific region, in which 50 cases involved a positive BAC. The question is whether this region has a higher proportion of such traffic fatalities compared to the entire country, using a significance level of α = 0.01. ### Conditions Verification - **Sample Size Condition**: Calculate \( np_0 (1 - p_0) = 24.5 \). Since this value is greater than 10, the sample size condition is met. - **Population Size Condition**: The sample size is less than 5% of the entire population. - **Random Sampling Condition**: The sample is stated to be random. Since all conditions are satisfied, the hypothesis test requirements are met. ### Hypotheses Formulation - **Null Hypothesis (H₀)**: \( p = 0.34 \) (The proportion of traffic fatalities involving a positive BAC in the region is equal to the national proportion.) - **Alternative Hypothesis (H₁)**: \( p > 0.34 \) (The proportion of traffic fatalities involving a positive BAC in the region is greater than the national proportion.) By conducting this hypothesis test, we aim to determine if the region indeed has a higher incidence of BAC-related traffic fatalities compared to the national average, at a 1% level of significance.
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