MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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**Hypothesis Testing at Significance Level 0.10**

**Claim (Hₐ):**
\( H_0: \mu = 89.2 \\
H_a: \mu > 89.2 \)

**Given Data:**
- Population is normally distributed.
- Standard deviation \( \sigma = 10.7 \).
- Sample mean \( \bar{X} = 93.4 \).
- Sample size \( n = 23 \).

**Tasks:**

1. **Calculate the Test Statistic:**
   - Use the formula for the test statistic for a one-sample z-test:
     \[
     z = \frac{\bar{X} - \mu}{\sigma/\sqrt{n}}
     \]
   - Substitute the given values:
     \[
     z = \frac{93.4 - 89.2}{10.7/\sqrt{23}}
     \]
   - Compute the value and report the test statistic accurate to three decimal places.

2. **Determine the p-value:**
   - Based on the calculated z-value, find the corresponding p-value from the standard normal distribution.
   - Report the p-value accurate to four decimal places.

3. **Compare p-value with α:**
   - The p-value is either less than (or equal to) α or greater than α.

4. **Choose the Statistical Decision:**
   - Depending on the comparison of the p-value with α, decide to either reject the null hypothesis, accept the null hypothesis, or fail to reject the null hypothesis.

**Conclusion:**
- Make the final conclusion about the population mean based on the decision:
  - If you reject the null hypothesis, there is sufficient evidence to support that the population mean is greater than 89.2.
  - If you fail to reject the null hypothesis, there is not sufficient evidence to support that the population mean is greater than 89.2.

**Conclusion Options:**
- There is sufficient evidence to warrant rejection of the claim that the population mean is greater than 89.2.
- There is not sufficient evidence to warrant rejection of the claim that the population mean is greater than 89.2.
- The sample data support the claim that the population mean is greater than 89.2.
- There is not sufficient sample evidence to support the claim that the population mean is greater than 89.2.
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Transcribed Image Text:**Hypothesis Testing at Significance Level 0.10** **Claim (Hₐ):** \( H_0: \mu = 89.2 \\ H_a: \mu > 89.2 \) **Given Data:** - Population is normally distributed. - Standard deviation \( \sigma = 10.7 \). - Sample mean \( \bar{X} = 93.4 \). - Sample size \( n = 23 \). **Tasks:** 1. **Calculate the Test Statistic:** - Use the formula for the test statistic for a one-sample z-test: \[ z = \frac{\bar{X} - \mu}{\sigma/\sqrt{n}} \] - Substitute the given values: \[ z = \frac{93.4 - 89.2}{10.7/\sqrt{23}} \] - Compute the value and report the test statistic accurate to three decimal places. 2. **Determine the p-value:** - Based on the calculated z-value, find the corresponding p-value from the standard normal distribution. - Report the p-value accurate to four decimal places. 3. **Compare p-value with α:** - The p-value is either less than (or equal to) α or greater than α. 4. **Choose the Statistical Decision:** - Depending on the comparison of the p-value with α, decide to either reject the null hypothesis, accept the null hypothesis, or fail to reject the null hypothesis. **Conclusion:** - Make the final conclusion about the population mean based on the decision: - If you reject the null hypothesis, there is sufficient evidence to support that the population mean is greater than 89.2. - If you fail to reject the null hypothesis, there is not sufficient evidence to support that the population mean is greater than 89.2. **Conclusion Options:** - There is sufficient evidence to warrant rejection of the claim that the population mean is greater than 89.2. - There is not sufficient evidence to warrant rejection of the claim that the population mean is greater than 89.2. - The sample data support the claim that the population mean is greater than 89.2. - There is not sufficient sample evidence to support the claim that the population mean is greater than 89.2.
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