Use a t-test to test the claim about the population mean μ at the given level of significance a using the given sample statistics. Assume the population is normally distributed. Claim: μ28300; x = 0.01 Sample statistics: x=8100, s = 460, n = 21 What are the null and alternative hypotheses? OA. Ho: μ#8300 H₂: H=8300 C. Ho: H=8300 Ha: μ#8300 What is the value of the standardized test statistic? The standardized test statistic is (Round to two decimal places as needed.) What is the P-value? (Round to three decimal places as needed.) Decide whether to reject or fail to reject the null hypothesis. Choose the correct answer below. B. Ho: ≤8300 H₂:μ>8300 OD. Ho: 28300 Hg: μ < 8300 OA. Fail to reject Ho. At the 1% level of significance, there is not enough evidence to reject the claim. OB. Reject Ho. At the 1% level of significance, there is not enough evidence to reject the claim. OC. Fail to reject Ho. At the 1% level of significance, there is enough evidence to reject the claim. OD. Reject Ho. At the 1% level of significance, there is enough evidence to reject the claim. LO

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### T-Test for Population Mean \( \mu \) at Given Level of Significance \( \alpha \)

#### Problem Statement
Use a t-test to test the claim about the population mean \( \mu \) at the given level of significance \( \alpha \) using the given sample statistics. Assume the population is normally distributed.

- **Claim:** \( \mu \geq 8300 \)
- **Level of Significance (\( \alpha \)):** 0.01 
- **Sample Statistics:**
  - Sample Mean (\( \bar{x} \)): 8100 
  - Sample Standard Deviation (\( s \)): 460 
  - Sample Size (\( n \)): 21

#### Step-by-step Procedure

1. **Identifying Hypotheses:**
   - What are the null and alternative hypotheses? Select the correct option:
     - **A.** \( H_0: \mu \neq 8300 \) \( H_a: \mu = 8300 \)
     - **B.** \( H_0: \mu \leq 8300 \) \( H_a: \mu > 8300 \)
     - **C.** \( H_0: \mu = 8300 \) \( H_a: \mu \neq 8300 \)
     - **D.** \( H_0: \mu \geq 8300 \) \( H_a: \mu < 8300 \)

2. **Calculate the Standardized Test Statistic:**
   - The standardized test statistic is \(\boxed{\phantom{0.00}}\). (Round to two decimal places as needed.)

3. **Determine the P-Value:**
   - The P-value is \( P = \boxed{\phantom{0.000}} \). (Round to three decimal places as needed.)

4. **Decide to Reject or Fail to Reject the Null Hypothesis:**
   - Choose the correct answer below:
     - **A.** Fail to reject \( H_0 \). At the 1% level of significance, there is not enough evidence to reject the claim.
     - **B.** Reject \( H_0 \). At the 1% level of significance, there is not enough evidence to reject the claim.
     - **C.** Fail to reject \( H_0 \). At the 1% level
Transcribed Image Text:### T-Test for Population Mean \( \mu \) at Given Level of Significance \( \alpha \) #### Problem Statement Use a t-test to test the claim about the population mean \( \mu \) at the given level of significance \( \alpha \) using the given sample statistics. Assume the population is normally distributed. - **Claim:** \( \mu \geq 8300 \) - **Level of Significance (\( \alpha \)):** 0.01 - **Sample Statistics:** - Sample Mean (\( \bar{x} \)): 8100 - Sample Standard Deviation (\( s \)): 460 - Sample Size (\( n \)): 21 #### Step-by-step Procedure 1. **Identifying Hypotheses:** - What are the null and alternative hypotheses? Select the correct option: - **A.** \( H_0: \mu \neq 8300 \) \( H_a: \mu = 8300 \) - **B.** \( H_0: \mu \leq 8300 \) \( H_a: \mu > 8300 \) - **C.** \( H_0: \mu = 8300 \) \( H_a: \mu \neq 8300 \) - **D.** \( H_0: \mu \geq 8300 \) \( H_a: \mu < 8300 \) 2. **Calculate the Standardized Test Statistic:** - The standardized test statistic is \(\boxed{\phantom{0.00}}\). (Round to two decimal places as needed.) 3. **Determine the P-Value:** - The P-value is \( P = \boxed{\phantom{0.000}} \). (Round to three decimal places as needed.) 4. **Decide to Reject or Fail to Reject the Null Hypothesis:** - Choose the correct answer below: - **A.** Fail to reject \( H_0 \). At the 1% level of significance, there is not enough evidence to reject the claim. - **B.** Reject \( H_0 \). At the 1% level of significance, there is not enough evidence to reject the claim. - **C.** Fail to reject \( H_0 \). At the 1% level
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