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 a = 0.02, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). OB. Fail to reject Ho Fail to reject Ha Fail to reject Ho Reject Ho / Reject Hg Reject Ho Reject Ha (c) Identify the standardized test statistic. Use technology

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**Transcription and Explanation for Educational Website**

**Problem Statement:**
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 α = 0.02, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e).

**Part (a): Diagram A**
- **Graph Description:** The graph shows a normal distribution curve with shaded regions on the left tail.
- **Labels:** The curve is divided into two regions: "Reject H₀" in the left tail and "Fail to reject H₀" in the central part and right tail. The critical region is on the left side of the graph.

**Part (b): Diagram B**
- **Graph Description:** This graph also displays a normal distribution curve, similar to the one in Diagram A.
- **Labels:** Here, the curve has a single critical region labeled "Reject H₀" on the right tail, with the central part labeled "Fail to reject H₀."

**Part (c): Diagram C**
- **Graph Description:** Another normal distribution curve is shown, with shaded regions on both tails.
- **Labels:** The curve divides into three regions with "Reject H₀" on both the left and right tails, and "Fail to reject H₀" in the central part. This indicates a two-tailed test.

**Further Instructions:**
- **(c) Identify the standardized test statistic. Use technology.**
  - **Formula:** \( z = \)
  - **Instruction:** (Round to two decimal places as needed.)

This problem involves testing the manufacturer's claim about the average life span of their light bulbs using hypothesis testing. It requires determining which hypothesis to reject based on the provided sample data and significance level, utilizing one-tailed or two-tailed test approaches as depicted in the diagrams.
Transcribed Image Text:**Transcription and Explanation for Educational Website** **Problem Statement:** 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 α = 0.02, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). **Part (a): Diagram A** - **Graph Description:** The graph shows a normal distribution curve with shaded regions on the left tail. - **Labels:** The curve is divided into two regions: "Reject H₀" in the left tail and "Fail to reject H₀" in the central part and right tail. The critical region is on the left side of the graph. **Part (b): Diagram B** - **Graph Description:** This graph also displays a normal distribution curve, similar to the one in Diagram A. - **Labels:** Here, the curve has a single critical region labeled "Reject H₀" on the right tail, with the central part labeled "Fail to reject H₀." **Part (c): Diagram C** - **Graph Description:** Another normal distribution curve is shown, with shaded regions on both tails. - **Labels:** The curve divides into three regions with "Reject H₀" on both the left and right tails, and "Fail to reject H₀" in the central part. This indicates a two-tailed test. **Further Instructions:** - **(c) Identify the standardized test statistic. Use technology.** - **Formula:** \( z = \) - **Instruction:** (Round to two decimal places as needed.) This problem involves testing the manufacturer's claim about the average life span of their light bulbs using hypothesis testing. It requires determining which hypothesis to reject based on the provided sample data and significance level, utilizing one-tailed or two-tailed test approaches as depicted in the diagrams.
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