Assume that a simple random sample has been selected from a normally distributed population and test the given claim. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. A safety administration conducted crash tests of child booster seats for cars. Listed below are results from those tests, with the measurements given in hic (standard head injury condition units). The safety requirement is that the hic measurement should be less than 1000 hic. Use a 0.01 significance level 776 636 1213 test the claim that the sample is from a population with a mean less than 1000 hic. Do the results suggest that all of the child booster seats meet the specified requirement? 619 557 531 O What are the hypotheses? Ο. H : μ> 1000 hic O B. Ho: u= 1000 hic H:H< 1000 hic Η : μ2 1000 hic c. Ho: u= 1000 hic O D. Ho: u<1000 hic H1:H< 1000 hic H:u2 1000 hic Identify the test statistic. t= (Round to three decimal places as needed.)

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**Educational Content: Hypothesis Testing on Child Booster Seat Safety**

**Scenario:**
Assume that a simple random sample has been selected from a normally distributed population, and test the given claim. The goal is to identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.

**Objective:**
A safety administration conducted crash tests of child booster seats for cars. The results are listed below, with measurements in hic (standard head injury condition units). The requirement is that the hic measurement should be less than 1000 hic. The significance level is 0.01.

**Data:**
- Measurements: 776, 636, 1213, 619, 557, 531

**Task:**
Determine if the sample is from a population with a mean less than 1000 hic. Do the results suggest that all child booster seats meet the specified requirement?

**Hypotheses:**
- (C) Null Hypothesis \( H_0: \mu = 1000 \) hic
- Alternative Hypothesis \( H_1: \mu < 1000 \) hic

**Identify the Test Statistic:**
- The formula for the test statistic \( t \) is needed.
- Instructions: Round to three decimal places as needed.

*Explanation:*
In the given problem, we aim to determine if the mean hic measurement for the booster seats is less than 1000 hic, indicating they pass the safety requirement. The setup involves performing a one-sample t-test with a specified significance level to draw conclusions based on the collected data.

**Note:**
- No graphs or diagrams are present in this content.
Transcribed Image Text:**Educational Content: Hypothesis Testing on Child Booster Seat Safety** **Scenario:** Assume that a simple random sample has been selected from a normally distributed population, and test the given claim. The goal is to identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. **Objective:** A safety administration conducted crash tests of child booster seats for cars. The results are listed below, with measurements in hic (standard head injury condition units). The requirement is that the hic measurement should be less than 1000 hic. The significance level is 0.01. **Data:** - Measurements: 776, 636, 1213, 619, 557, 531 **Task:** Determine if the sample is from a population with a mean less than 1000 hic. Do the results suggest that all child booster seats meet the specified requirement? **Hypotheses:** - (C) Null Hypothesis \( H_0: \mu = 1000 \) hic - Alternative Hypothesis \( H_1: \mu < 1000 \) hic **Identify the Test Statistic:** - The formula for the test statistic \( t \) is needed. - Instructions: Round to three decimal places as needed. *Explanation:* In the given problem, we aim to determine if the mean hic measurement for the booster seats is less than 1000 hic, indicating they pass the safety requirement. The setup involves performing a one-sample t-test with a specified significance level to draw conclusions based on the collected data. **Note:** - No graphs or diagrams are present in this content.
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