modified as follows: In a random sample of 55 panels, the average failure time is 2.07 years and the standard deviation is 1.11 years. Find the 91.7% CI for the population mean failure time

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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Ex 6.14 modified as follows: In a random sample of 55 panels, the average failure time is 2.07 years and the standard deviation is 1.11 years. Find the 91.7% CI for the population mean failure time

**Problem Statement:**

1. **Ex 6.14 Modified:**
   - In a random sample of 55 panels, the average failure time is 2.07 years, and the standard deviation is 1.11 years. Find the 91.7% Confidence Interval (CI) for the population mean failure time.

**Excerpt from Textbook:**

- **CHAPTER 6: Inferences Based on a Single Sample.**

    - **6.14 Wear-out of Used Display Panels:**
      - Refer to Exercise 4.126 (p. 247) regarding the study of wear-out failure time of used colored display panels bought by an outlet store. The failure times (in years) for a sample of 50 used panels are provided in a table. An XLSTAT output of the analysis is displayed.
      
        - **Tasks:**
          - **a.** Locate a 95% confidence interval for the true mean failure time of used colored display panels.
          - **b.** Provide a practical interpretation of the interval from part a.
          - **c.** In repeated sampling of the population of used colored display panels, determine the proportion of all confidence intervals that would capture the true mean failure time if computed at 95% confidence.

- **Data Table (Failure Times):**
  - A table listing failure times in years for individual panels, ranging from 0.01 to 3.50.

- **XLSTAT Output:**
  - Summary statistics for "FailTime":
    - **Observations:** 50
    - **Minimum:** 0.0100
    - **Maximum:** 3.500
    - **Mean:** 1.9350
    - **Standard Deviation:** 0.9287
  - **95% Confidence Interval on the Mean:** [1.6776, 2.1924]

**Source Information:**
- Based on a paper "A Weibull Wearout Test: Full Bayesian Approach," presented at the Mathematical Sciences Colloquium in Binghamton, UK, December 2001.

**Discussion:**
- The exercise involves computing and interpreting confidence intervals, which are estimates of a population parameter based on a sample statistic. The context is a practical scenario involving wear-out times of display panels.
Transcribed Image Text:**Problem Statement:** 1. **Ex 6.14 Modified:** - In a random sample of 55 panels, the average failure time is 2.07 years, and the standard deviation is 1.11 years. Find the 91.7% Confidence Interval (CI) for the population mean failure time. **Excerpt from Textbook:** - **CHAPTER 6: Inferences Based on a Single Sample.** - **6.14 Wear-out of Used Display Panels:** - Refer to Exercise 4.126 (p. 247) regarding the study of wear-out failure time of used colored display panels bought by an outlet store. The failure times (in years) for a sample of 50 used panels are provided in a table. An XLSTAT output of the analysis is displayed. - **Tasks:** - **a.** Locate a 95% confidence interval for the true mean failure time of used colored display panels. - **b.** Provide a practical interpretation of the interval from part a. - **c.** In repeated sampling of the population of used colored display panels, determine the proportion of all confidence intervals that would capture the true mean failure time if computed at 95% confidence. - **Data Table (Failure Times):** - A table listing failure times in years for individual panels, ranging from 0.01 to 3.50. - **XLSTAT Output:** - Summary statistics for "FailTime": - **Observations:** 50 - **Minimum:** 0.0100 - **Maximum:** 3.500 - **Mean:** 1.9350 - **Standard Deviation:** 0.9287 - **95% Confidence Interval on the Mean:** [1.6776, 2.1924] **Source Information:** - Based on a paper "A Weibull Wearout Test: Full Bayesian Approach," presented at the Mathematical Sciences Colloquium in Binghamton, UK, December 2001. **Discussion:** - The exercise involves computing and interpreting confidence intervals, which are estimates of a population parameter based on a sample statistic. The context is a practical scenario involving wear-out times of display panels.
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