A simple random sample of size n = 40 is drawn from a population. The sample mean is found to be 108.6, and the sample standard deviation is found to be 19.6. Is the population mean greater than 100 at the x = 0.01 level of significance? Determine the null and alternative hypotheses. Ho: μ = 100 H₁: μ> 100 tatatinti

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**Problem Statement:**

A simple random sample of size \( n = 40 \) is drawn from a population. The sample mean is found to be 108.6, and the sample standard deviation is found to be 19.6. Is the population mean greater than 100 at the \( \alpha = 0.01 \) level of significance?

**Steps to solve the problem:**

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

   - Null Hypothesis \( (H_0) \): \( \mu = 100 \)
   - Alternative Hypothesis \( (H_1) \): \( \mu > 100 \)

2. **Compute the test statistic.**

   \[
   t_0 = 2.78 \text{ (Round to two decimal places as needed.)}
   \]

3. **Determine the P-value.**

   \[
   \text{The P-value is } 0.004. \text{ (Round to three decimal places as needed.)}
   \]

4. **Test Results:**

   - Reject or fail to reject the null hypothesis and explain why:
     - Reject the null hypothesis because the P-value is less than the level of significance.
   - Conclusion at \( \alpha = 0.01 \) level of significance:
     - At the \( \alpha = 0.01 \) level of significance, the population mean is greater than 100.
Transcribed Image Text:**Problem Statement:** A simple random sample of size \( n = 40 \) is drawn from a population. The sample mean is found to be 108.6, and the sample standard deviation is found to be 19.6. Is the population mean greater than 100 at the \( \alpha = 0.01 \) level of significance? **Steps to solve the problem:** 1. **Determine the null and alternative hypotheses.** - Null Hypothesis \( (H_0) \): \( \mu = 100 \) - Alternative Hypothesis \( (H_1) \): \( \mu > 100 \) 2. **Compute the test statistic.** \[ t_0 = 2.78 \text{ (Round to two decimal places as needed.)} \] 3. **Determine the P-value.** \[ \text{The P-value is } 0.004. \text{ (Round to three decimal places as needed.)} \] 4. **Test Results:** - Reject or fail to reject the null hypothesis and explain why: - Reject the null hypothesis because the P-value is less than the level of significance. - Conclusion at \( \alpha = 0.01 \) level of significance: - At the \( \alpha = 0.01 \) level of significance, the population mean is greater than 100.
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Follow-up Question
A simple random sample of size n = 40 is drawn from a population. The sample mean is found to be 108.6, and the sample standard deviation is found to be 19.6. Is the population mean greater than 100 at the α = 0.01 level
of significance?
Determine the null and alternative hypotheses.
Ho: μ = 100
H₁: μ> 100
Compute the test statistic.
to = 2.78 (Round to two decimal places as needed.)
Determine the P-value.
The P-value is 0.004. (Round to three decimal places as needed.)
What is the result of the hypothesis test?
the null hypothesis because the P-value is
the level of significance. At the α = 0.01 level of significance, the population mean
less than 100.
different from 100.
greater than 100.
less than 108.6.
different from 108.6.
greater than 108.6.
Transcribed Image Text:A simple random sample of size n = 40 is drawn from a population. The sample mean is found to be 108.6, and the sample standard deviation is found to be 19.6. Is the population mean greater than 100 at the α = 0.01 level of significance? Determine the null and alternative hypotheses. Ho: μ = 100 H₁: μ> 100 Compute the test statistic. to = 2.78 (Round to two decimal places as needed.) Determine the P-value. The P-value is 0.004. (Round to three decimal places as needed.) What is the result of the hypothesis test? the null hypothesis because the P-value is the level of significance. At the α = 0.01 level of significance, the population mean less than 100. different from 100. greater than 100. less than 108.6. different from 108.6. greater than 108.6.
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