Data Set 37 "Cola Weights and Volumes" in Appendix B includes volumes (ounces) of a sample of cans of regular Coke. The summary statistics are n=36, x =12.19 oz, s = 0.11 oz. Use a 0.05 significance level to test the claim that cans of Coke have a mean volume of 12.00 ounces. Does it appear that consumers are being cheated?

MATLAB: An Introduction with Applications
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Data Set 37 “Cola Weights and Volumes” in Appendix B includes volumes (ounces) of a sample of cans of regular Coke. The summary statistics are n=36, \( \bar{x} = 12.19 \) oz, s=0.11 oz. Use a 0.05 significance level to test the claim that cans of Coke have a mean volume of 12.00 ounces. Does it appear that consumers are being cheated?

### Explanation:
- **n**: Sample size = 36
- \( \bar{x} \): Sample mean = 12.19 ounces
- **s**: Sample standard deviation = 0.11 ounces
- **Significance Level**: 0.05

The task is to perform a hypothesis test to determine if the actual mean volume is 12.00 ounces, indicating whether consumers might be receiving less product than expected.
Transcribed Image Text:Data Set 37 “Cola Weights and Volumes” in Appendix B includes volumes (ounces) of a sample of cans of regular Coke. The summary statistics are n=36, \( \bar{x} = 12.19 \) oz, s=0.11 oz. Use a 0.05 significance level to test the claim that cans of Coke have a mean volume of 12.00 ounces. Does it appear that consumers are being cheated? ### Explanation: - **n**: Sample size = 36 - \( \bar{x} \): Sample mean = 12.19 ounces - **s**: Sample standard deviation = 0.11 ounces - **Significance Level**: 0.05 The task is to perform a hypothesis test to determine if the actual mean volume is 12.00 ounces, indicating whether consumers might be receiving less product than expected.
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