A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 754 hours. A random sample of 30 light bulbs has a mean life of 732 hours. Assume the population is normally distributed and the population standard deviation is 62 hours. At $\alpha = 0.05$, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). \[ z_0 = -1.65 \](Use a comma to separate answers as needed. Round to two decimal places as needed.)Identify the rejection region(s). Choose the correct answer below.**Option A:**- The graph depicts a normal distribution curve with the left tail shaded, denoting the rejection region. The z-value where the shading begins is approximately marked, but specific numerical values are not given. The majority of the curve, to the right, is labeled "Fail to reject $H_0$."**Option B:**- The graph shows a normal distribution curve, primarily shading the right tail, representing the rejection region. Specific z-values to define the start of the shaded area are not provided. The larger, unshaded portion to the left is marked "Fail to reject $H_0$."**Option C:**- The graph illustrates a normal distribution curve with both tails shaded, indicating two rejection regions. The middle section, unshaded, is labeled "Fail to reject $H_0$." The graph suggests a two-tailed test.Correct identification of these rejection regions on the standard normal distribution graph is necessary to determine if there is enough evidence to reject the manufacturer's claim based on the calculated z-value.

Name: A light bulb manufacturer guarantees that the mean life of a certain
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Description: A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 754 hours. A random sample of 30 light bulbs has a mean life of 732 hours. Assume the population is normally distributed and the population standard

The test statistic is z=x¯-μσn=732-7546230=-2211.31959=-1.943

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pulation standard deviation is 62 hours. At a =0.05, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). = -1.65 Ise a comma to separate answers as needed Round to two decimal places as needed.) lentify the rejection region(s). Choose the correct answer below. OC. OA. Fail to reject Hg Fal to reject Hg Fail to reject H. Reject H. Reject H Reject Hg Reject Ho

pulation standard deviation is 62 hours. At a =0.05, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e). = -1.65 Ise a comma to separate answers as needed Round to two decimal places as needed.) lentify the rejection region(s). Choose the correct answer below. OC. OA. Fail to reject Hg Fal to reject Hg Fail to reject H. Reject H. Reject H Reject Hg Reject Ho

MATLAB: An Introduction with Applications

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Author:Amos Gilat

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Question

A light bulb manufacturer guarantees that the mean life of a certain type of light bulb is at least 754 hours. A random sample of 30 light bulbs has a mean life of 732 hours. Assume the population is normally distributed and the population standard deviation is 62 hours. At $\alpha = 0.05$, do you have enough evidence to reject the manufacturer's claim? Complete parts (a) through (e).

\[ z_0 = -1.65 \]
(Use a comma to separate answers as needed. Round to two decimal places as needed.)

Identify the rejection region(s). Choose the correct answer below.

**Option A:**
- The graph depicts a normal distribution curve with the left tail shaded, denoting the rejection region. The z-value where the shading begins is approximately marked, but specific numerical values are not given. The majority of the curve, to the right, is labeled "Fail to reject $H_0$."

**Option B:**
- The graph shows a normal distribution curve, primarily shading the right tail, representing the rejection region. Specific z-values to define the start of the shaded area are not provided. The larger, unshaded portion to the left is marked "Fail to reject $H_0$."

**Option C:**
- The graph illustrates a normal distribution curve with both tails shaded, indicating two rejection regions. The middle section, unshaded, is labeled "Fail to reject $H_0$." The graph suggests a two-tailed test.

Correct identification of these rejection regions on the standard normal distribution graph is necessary to determine if there is enough evidence to reject the manufacturer's claim based on the calculated z-value.

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