A fast food restaurant estimates that the mean sodium content in one of its breakfast sandwiches is no more than 920 milligrams. A random sample of 30 breakfast sandwiches has a mean sodium content of 910 milligrams. Assume the population standard deviation is 25 milligrams. At a = 0.10, do you have enough evidence to reject the restaurant's claim? Complete parts (a) through (e) (a) Identify the null hypothesis and alternative hypothesis. c. Họ: us 920 (claim) ΟΑ Hρ: μS910 Ha:H<910 (claim) O B. Ho: µ= 910 (claim) Ha: u#910 Ha: u> 920 O E. Ho: u<910 (claim) Hai u2910 Ο D. Ho μ> 920 OF. Ho: u# 920 (claim) Hg:us 920 (claim) Ha: u = 920 (b) Identify the critical value(s). Use technology. (Use a comma to separate answers as needed. Round to two decimal places as needed.)

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**Transcription and Explanation for Educational Website**

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**Example Analysis: Testing the Mean Sodium Content of Breakfast Sandwiches**

A fast food restaurant claims that the mean sodium content in one of its breakfast sandwiches is no more than 920 milligrams. A random sample of 30 breakfast sandwiches shows a mean sodium content of 910 milligrams. With a population standard deviation of 25 milligrams and a significance level (α) of 0.10, we will determine if there is enough evidence to reject the restaurant's claim. Review the steps (a) through (e) for this analysis.

**Step (a): Identify the Null and Alternative Hypotheses**

We need to select the correct null hypothesis (\(H_0\)) and the alternative hypothesis (\(H_a\)) based on the claim. The options are:

- **A.** \(H_0: \mu \leq 910\)
  \(H_a: \mu < 910\) (claim)

- **B.** \(H_0: \mu = 910\) (claim)
  \(H_a: \mu \neq 910\)

- **C.** \(H_0: \mu \leq 920\) (claim)
  \(H_a: \mu > 920\) 
  (This is the selected option.)

- **D.** \(H_0: \mu \geq 920\)
  \(H_a: \mu < 920\) (claim)

- **E.** \(H_0: \mu < 910\) (claim)
  \(H_a: \mu \geq 910\)

- **F.** \(H_0: \mu \neq 920\) (claim)
  \(H_a: \mu = 920\)

**Step (b): Identify the Critical Value(s) Using Technology**

For this analysis, we'll calculate the critical value using technology. The critical value, \(z_0\), will determine the rejection region for the null hypothesis. The value should be calculated and rounded to two decimal places as needed.

\(z_0 = \_\_\_ \)

*(Please use a calculator or software for exact computation, rounding appropriately.)*

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This example guides students through hypothesis testing, allowing them to practice setting up and testing statistical hypotheses using sample data.
Transcribed Image Text:**Transcription and Explanation for Educational Website** --- **Example Analysis: Testing the Mean Sodium Content of Breakfast Sandwiches** A fast food restaurant claims that the mean sodium content in one of its breakfast sandwiches is no more than 920 milligrams. A random sample of 30 breakfast sandwiches shows a mean sodium content of 910 milligrams. With a population standard deviation of 25 milligrams and a significance level (α) of 0.10, we will determine if there is enough evidence to reject the restaurant's claim. Review the steps (a) through (e) for this analysis. **Step (a): Identify the Null and Alternative Hypotheses** We need to select the correct null hypothesis (\(H_0\)) and the alternative hypothesis (\(H_a\)) based on the claim. The options are: - **A.** \(H_0: \mu \leq 910\) \(H_a: \mu < 910\) (claim) - **B.** \(H_0: \mu = 910\) (claim) \(H_a: \mu \neq 910\) - **C.** \(H_0: \mu \leq 920\) (claim) \(H_a: \mu > 920\) (This is the selected option.) - **D.** \(H_0: \mu \geq 920\) \(H_a: \mu < 920\) (claim) - **E.** \(H_0: \mu < 910\) (claim) \(H_a: \mu \geq 910\) - **F.** \(H_0: \mu \neq 920\) (claim) \(H_a: \mu = 920\) **Step (b): Identify the Critical Value(s) Using Technology** For this analysis, we'll calculate the critical value using technology. The critical value, \(z_0\), will determine the rejection region for the null hypothesis. The value should be calculated and rounded to two decimal places as needed. \(z_0 = \_\_\_ \) *(Please use a calculator or software for exact computation, rounding appropriately.)* --- This example guides students through hypothesis testing, allowing them to practice setting up and testing statistical hypotheses using sample data.
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