A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 749 hours. A random sample of 28 light bulbs has a mean life of 726 hours. Assume the population is normally distribute population standard deviation is 57 hours. At a = 0.02, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). (a) Identify the null hypothesis and alternative hypothesis. O A. Ho: u> 749 H us749 (claim) O B. H,: u#749(claim) H u=749 OC. Ho u= 726 H, u#726 (claim) OD Ha US726 Ho: u2749 (claim) OF Ho:H< 726 (claim)

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A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 749 hours. A random sample of 28 light bulbs has a mean life of 726 hours. Assume the population is normally distributed and the population standard deviation is 57 hours. At \(\alpha = 0.02\), do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e).

**(a) Identify the null hypothesis and alternative hypothesis.**

- A. \(H_0: \mu > 749\)  
  \(H_a: \mu \leq 749\) (claim)  

- B. \(H_0: \mu \neq 749\) (claim)  
  \(H_a: \mu = 749\)  

- C. \(H_0: \mu = 726\)  
  \(H_a: \mu \neq 726\) (claim)  

- D. \(H_0: \mu \leq 726\)  
  \(H_a: \mu > 726\) (claim)  

- E. \(H_0: \mu \geq 749\) (claim)  ✓
  \(H_a: \mu < 749\)  

- F. \(H_0: \mu < 726\) (claim)  
  \(H_a: \mu \geq 726\)  

**(b) Identify the critical value(s). Use technology.**

\(z_0 = \_\_\)

*(Use a comma to separate answers as needed. Round to two decimal places as needed.)*

---

**Explanation of the Diagram:**

The image provides a selection of hypotheses related to the mean life of light bulbs in a hypothesis testing framework. The correct option, identified in the image, states the null hypothesis \(H_0: \mu \geq 749\), which is the manufacturer’s claim, and the alternative hypothesis \(H_a: \mu < 749\), which suggests that the mean life is less than claimed. The task involves determining if there is sufficient evidence to reject the manufacturer’s claim at a given significance level, with calculations based on given data.
Transcribed Image Text:**Image Transcription for Educational Use** A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 749 hours. A random sample of 28 light bulbs has a mean life of 726 hours. Assume the population is normally distributed and the population standard deviation is 57 hours. At \(\alpha = 0.02\), do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). **(a) Identify the null hypothesis and alternative hypothesis.** - A. \(H_0: \mu > 749\) \(H_a: \mu \leq 749\) (claim) - B. \(H_0: \mu \neq 749\) (claim) \(H_a: \mu = 749\) - C. \(H_0: \mu = 726\) \(H_a: \mu \neq 726\) (claim) - D. \(H_0: \mu \leq 726\) \(H_a: \mu > 726\) (claim) - E. \(H_0: \mu \geq 749\) (claim) ✓ \(H_a: \mu < 749\) - F. \(H_0: \mu < 726\) (claim) \(H_a: \mu \geq 726\) **(b) Identify the critical value(s). Use technology.** \(z_0 = \_\_\) *(Use a comma to separate answers as needed. Round to two decimal places as needed.)* --- **Explanation of the Diagram:** The image provides a selection of hypotheses related to the mean life of light bulbs in a hypothesis testing framework. The correct option, identified in the image, states the null hypothesis \(H_0: \mu \geq 749\), which is the manufacturer’s claim, and the alternative hypothesis \(H_a: \mu < 749\), which suggests that the mean life is less than claimed. The task involves determining if there is sufficient evidence to reject the manufacturer’s claim at a given significance level, with calculations based on given data.
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