A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup. In a test of the machine, the discharge amounts in 17 randomly chosen cups of coffee from the machine were recorded. The sample mean and sample standard deviation were 5.98 fluid ounces and 0.18 fluid ounces, respectively. If we assume that the discharge amounts are approximately normally distributed, is there enough evidence, to conclude that the population mean discharge, μ, differs from 6 fluid ounces? Use the 0.10 level of significance. Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places. (If necessary, consult a list of formulas.)

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**Hypothesis Testing for a Drink Machine**

A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup. In a test of the machine, discharge amounts from 17 randomly chosen cups of coffee were recorded. The sample mean and sample standard deviation were 5.98 fluid ounces and 0.18 fluid ounces, respectively.

The objective is to determine if there is enough evidence to conclude that the population mean discharge (\(\mu\)) differs from 6 fluid ounces, using a 0.10 level of significance. This involves performing a two-tailed test.

**Steps in Hypothesis Testing:**

1. **State the Hypotheses:**
   - Null Hypothesis (\(H_0\)): \(\mu = 6\)
   - Alternative Hypothesis (\(H_1\)): \(\mu \neq 6\)

2. **Choose the Test Statistic:**
   - Likely a t-test or z-test would be used depending on known parameters and sample size.

3. **Calculate the Test Statistic:**
   - Use sample mean, population mean, sample standard deviation, and sample size.
   - Ensure to round to three or more decimal places for precision.

4. **Determine the Critical Values:**
   - Based on the 0.10 significance level, find the critical values from the appropriate distribution table (t or z).

5. **Make a Conclusion:**
   - Compare the test statistic to the critical values to decide whether to reject or fail to reject the null hypothesis.
   - Conclusion: Can we conclude that the mean discharge differs from 6 fluid ounces? Answer Yes or No based on the test results.

**Note:** Carry intermediate computations to three or more decimal places for accuracy. Consultant statistical formulas or tables as needed to determine the type of test and critical values.

This process is essential for quality control and ensuring the machine operates within the desired parameters.
Transcribed Image Text:**Hypothesis Testing for a Drink Machine** A coin-operated drink machine was designed to discharge a mean of 6 fluid ounces of coffee per cup. In a test of the machine, discharge amounts from 17 randomly chosen cups of coffee were recorded. The sample mean and sample standard deviation were 5.98 fluid ounces and 0.18 fluid ounces, respectively. The objective is to determine if there is enough evidence to conclude that the population mean discharge (\(\mu\)) differs from 6 fluid ounces, using a 0.10 level of significance. This involves performing a two-tailed test. **Steps in Hypothesis Testing:** 1. **State the Hypotheses:** - Null Hypothesis (\(H_0\)): \(\mu = 6\) - Alternative Hypothesis (\(H_1\)): \(\mu \neq 6\) 2. **Choose the Test Statistic:** - Likely a t-test or z-test would be used depending on known parameters and sample size. 3. **Calculate the Test Statistic:** - Use sample mean, population mean, sample standard deviation, and sample size. - Ensure to round to three or more decimal places for precision. 4. **Determine the Critical Values:** - Based on the 0.10 significance level, find the critical values from the appropriate distribution table (t or z). 5. **Make a Conclusion:** - Compare the test statistic to the critical values to decide whether to reject or fail to reject the null hypothesis. - Conclusion: Can we conclude that the mean discharge differs from 6 fluid ounces? Answer Yes or No based on the test results. **Note:** Carry intermediate computations to three or more decimal places for accuracy. Consultant statistical formulas or tables as needed to determine the type of test and critical values. This process is essential for quality control and ensuring the machine operates within the desired parameters.
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