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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Identify the test statistic

p-value 

**Data on Weights of Soda Cans**

This section explores the comparison of weights (in pounds) between cans of diet soda and regular soda. The summary data provided is based on independent simple random samples from normally distributed populations, and it is important to note that we do not assume equality of population standard deviations. The analysis uses a 0.01 significance level.

**Summary of Data:**

- **Diet Soda:**
  - Mean (\(\mu_1\)): Not specified directly
  - Sample size (\(n\)): 36
  - Sample mean (\(\overline{x}\)): 0.78021 lb
  - Sample standard deviation (\(s\)): 0.00434 lb

- **Regular Soda:**
  - Mean (\(\mu_2\)): Not specified directly
  - Sample size (\(n\)): 36
  - Sample mean (\(\overline{x}\)): 0.81413 lb
  - Sample standard deviation (\(s\)): 0.00743 lb

**Hypothesis Test:**

*Objective:* Test the claim that the mean weight of diet soda cans is less than that of regular soda cans.

**Null and Alternative Hypotheses Options:**

- **Option A:**
  - \(H_0: \mu_1 = \mu_2\)
  - \(H_1: \mu_1 > \mu_2\)

- **Option B:**
  - \(H_0: \mu_1 = \mu_2\)
  - \(H_1: \mu_1 \neq \mu_2\)

- **Option C:**
  - \(H_0: \mu_1 = \mu_2\)
  - \(H_1: \mu_1 < \mu_2\)

- **Option D:**
  - \(H_0: \mu_1 \neq \mu_2\)
  - \(H_1: \mu_1 < \mu_2\)

The correct hypothesis to test the claim that the mean weight of diet soda cans is less than that of regular soda cans is **Option C**:

- Null Hypothesis (\(H_0\)): \(\mu_1 = \mu_2\) - The mean weight of diet soda cans is equal to the mean weight of regular soda cans.
- Alternative Hypothesis (\(
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Transcribed Image Text:**Data on Weights of Soda Cans** This section explores the comparison of weights (in pounds) between cans of diet soda and regular soda. The summary data provided is based on independent simple random samples from normally distributed populations, and it is important to note that we do not assume equality of population standard deviations. The analysis uses a 0.01 significance level. **Summary of Data:** - **Diet Soda:** - Mean (\(\mu_1\)): Not specified directly - Sample size (\(n\)): 36 - Sample mean (\(\overline{x}\)): 0.78021 lb - Sample standard deviation (\(s\)): 0.00434 lb - **Regular Soda:** - Mean (\(\mu_2\)): Not specified directly - Sample size (\(n\)): 36 - Sample mean (\(\overline{x}\)): 0.81413 lb - Sample standard deviation (\(s\)): 0.00743 lb **Hypothesis Test:** *Objective:* Test the claim that the mean weight of diet soda cans is less than that of regular soda cans. **Null and Alternative Hypotheses Options:** - **Option A:** - \(H_0: \mu_1 = \mu_2\) - \(H_1: \mu_1 > \mu_2\) - **Option B:** - \(H_0: \mu_1 = \mu_2\) - \(H_1: \mu_1 \neq \mu_2\) - **Option C:** - \(H_0: \mu_1 = \mu_2\) - \(H_1: \mu_1 < \mu_2\) - **Option D:** - \(H_0: \mu_1 \neq \mu_2\) - \(H_1: \mu_1 < \mu_2\) The correct hypothesis to test the claim that the mean weight of diet soda cans is less than that of regular soda cans is **Option C**: - Null Hypothesis (\(H_0\)): \(\mu_1 = \mu_2\) - The mean weight of diet soda cans is equal to the mean weight of regular soda cans. - Alternative Hypothesis (\(
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