The quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine whether the mean life of a large shipment of CFLS is equal to 7,466 hours. The population standard deviation is 92 hours. A random sample of 64 light bulbs indicates a sample mean life of 7,443 hours. a. At the 0.05 level of significance, is there evidence that the mean life is different from 7,466 hours? b. Compute the p-value and interpret its meaning. c. Construct a 95% confidence interval estimate of the population mean life of the light bulbs. d. Compare the results of (a) and (c). What conclusions do you reach? a. Let u be the population mean. Determine the null hypothesis, Hg. and the alternative hypothesis, H,. Ho: µ=

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**Hypothesis Testing and Confidence Intervals for CFL Mean Life**

A quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine if the mean life of a large shipment of CFLs is equal to 7,466 hours. The population standard deviation is 92 hours, and a random sample of 64 light bulbs indicates a sample mean life of 7,443 hours.

a. **Hypothesis Test at 0.05 Significance Level**
   - **Objective:** Determine if there is evidence that the mean life is different from 7,466 hours.
   - **Null Hypothesis (H₀):** The population mean (μ) is equal to 7,466 hours.
   - **Alternative Hypothesis (H₁):** The population mean (μ) is not equal to 7,466 hours.

b. **Compute and Interpret the p-value**

c. **Construct a 95% Confidence Interval**
   - Estimate the population mean life of the light bulbs.

d. **Comparison and Conclusions**
   - Compare the results from parts (a) and (c), and discuss the conclusions.

**Detailed Breakdown**

**a. Hypotheses Setup**

- **Null Hypothesis (H₀):** μ = 7,466
- **Alternative Hypothesis (H₁):** μ ≠ 7,466 

This setup will determine if the mean life of the CFLs is significantly different from 7,466 hours.
Transcribed Image Text:**Hypothesis Testing and Confidence Intervals for CFL Mean Life** A quality-control manager at a compact fluorescent light bulb (CFL) factory needs to determine if the mean life of a large shipment of CFLs is equal to 7,466 hours. The population standard deviation is 92 hours, and a random sample of 64 light bulbs indicates a sample mean life of 7,443 hours. a. **Hypothesis Test at 0.05 Significance Level** - **Objective:** Determine if there is evidence that the mean life is different from 7,466 hours. - **Null Hypothesis (H₀):** The population mean (μ) is equal to 7,466 hours. - **Alternative Hypothesis (H₁):** The population mean (μ) is not equal to 7,466 hours. b. **Compute and Interpret the p-value** c. **Construct a 95% Confidence Interval** - Estimate the population mean life of the light bulbs. d. **Comparison and Conclusions** - Compare the results from parts (a) and (c), and discuss the conclusions. **Detailed Breakdown** **a. Hypotheses Setup** - **Null Hypothesis (H₀):** μ = 7,466 - **Alternative Hypothesis (H₁):** μ ≠ 7,466 This setup will determine if the mean life of the CFLs is significantly different from 7,466 hours.
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