Test the following claim. Make sure to include the critical value, a sketch of the critical value, and the test statistic. A simple random sample of weights of 19 green M&Ms has a mean of .8635 g. Assume that o =.0565 g. Use a .05 significance level to test the claim that the mean weight of all green M&Ms is less than 8435g, which is the mean weight printed on the label.

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b) Provide the p-value of the above test.
Transcribed Image Text:b) Provide the p-value of the above test.
**Hypothesis Testing Problem**

**Objective:**
Test the following claim. Ensure to include the critical value, a sketch of the critical value, and the test statistic.

**Problem Statement:**
A simple random sample of weights of 19 green M&Ms has a mean weight of 0.8635 grams. Assume that the population standard deviation \( \sigma = 0.0565 \) grams. Use a 0.05 significance level to test the claim that the mean weight of all green M&Ms is less than 0.845 grams, which is the mean weight printed on the label.

**Solution Steps:**

1. **State the Null and Alternative Hypotheses:**
   - Null Hypothesis (\( H_0 \)): The mean weight of green M&Ms is 0.845 grams.
   - Alternative Hypothesis (\( H_a \)): The mean weight of green M&Ms is less than 0.845 grams.

2. **Determine the Significance Level:**
   - Use a significance level (\( \alpha \)) of 0.05.

3. **Calculate the Test Statistic:**
   - Use the z-test for hypothesis testing since the population standard deviation is known.
   - The formula for the z-test statistic is:
     \[
     z = \frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}}}
     \]
     where \( \bar{x} \) is the sample mean, \( \mu \) is the population mean, \( \sigma \) is the standard deviation, and \( n \) is the sample size.

4. **Find the Critical Value:**
   - Determine the critical value from the z-table for a one-tailed test at \( \alpha = 0.05 \).

5. **Sketch and Analyze:**
   - Create a sketch showing the normal distribution curve, the critical region, and the location of the test statistic.
   - Compare the test statistic to the critical value to determine whether to reject the null hypothesis.

6. **Conclusion:**
   - Based on the comparison, conclude whether the mean weight of all green M&Ms is statistically less than 0.845 grams.
Transcribed Image Text:**Hypothesis Testing Problem** **Objective:** Test the following claim. Ensure to include the critical value, a sketch of the critical value, and the test statistic. **Problem Statement:** A simple random sample of weights of 19 green M&Ms has a mean weight of 0.8635 grams. Assume that the population standard deviation \( \sigma = 0.0565 \) grams. Use a 0.05 significance level to test the claim that the mean weight of all green M&Ms is less than 0.845 grams, which is the mean weight printed on the label. **Solution Steps:** 1. **State the Null and Alternative Hypotheses:** - Null Hypothesis (\( H_0 \)): The mean weight of green M&Ms is 0.845 grams. - Alternative Hypothesis (\( H_a \)): The mean weight of green M&Ms is less than 0.845 grams. 2. **Determine the Significance Level:** - Use a significance level (\( \alpha \)) of 0.05. 3. **Calculate the Test Statistic:** - Use the z-test for hypothesis testing since the population standard deviation is known. - The formula for the z-test statistic is: \[ z = \frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}}} \] where \( \bar{x} \) is the sample mean, \( \mu \) is the population mean, \( \sigma \) is the standard deviation, and \( n \) is the sample size. 4. **Find the Critical Value:** - Determine the critical value from the z-table for a one-tailed test at \( \alpha = 0.05 \). 5. **Sketch and Analyze:** - Create a sketch showing the normal distribution curve, the critical region, and the location of the test statistic. - Compare the test statistic to the critical value to determine whether to reject the null hypothesis. 6. **Conclusion:** - Based on the comparison, conclude whether the mean weight of all green M&Ms is statistically less than 0.845 grams.
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