Wear-out failure time of electronic components is often assumed to have a normal distribution. A lot of 50 used display

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Wear Out Failure Time Of Electronic Components Is Often Assumed To Have A Normal Distribution A Lot Of 50 Used Display 1 (78.1 KiB) Viewed 20 times

Wear-out failure time of electronic components is often assumed to have a normal distribution. A lot of 50 used display panels was purchased by an outlet store. Each panel displays 12 to 18 color characters. Prior to the acquisition, the panels had been used for about one-third of their expected lifetimes. The failure times (in years) for a sample of 50 used panels and an SPSS printout of the analysis are given in the accompanying tables. Complete parts a through c. Click the icon to view the data and the SPSS printout. a. Locate a 90% confidence interval for the true mean failure time of used colored display panels on the printout. 10 (Type integers or decimals rounded to four decimal places as needed.) b. Give a practical interpretation of the interval, part a. C ⒸA. With 10% confidence, the true mean failure time of used colored display panels is outside the endpoints of the confidence interval. O B. With 90% confidence, the true mean failure time of used colored display panels is outside the endpoints of the confidence interval. O C. With 10% confidence, the true mean failure time of used colored display panels is between the endpoints of the confidence interval. O D. With 90% confidence, the true mean failure time of used colored display panels is between the endpoints of the confidence interval. O E. An interpretation cannot be determined. c. In repeated sampling of the population of used colored display panels, where a 90% confidence interval for the mean failure time is computed for each sample, what proportion of all the confidence intervals generated will capture the true mean failure time? (Type an integer or a decimal. Do not round.)
Data and SPSS printout Wear-out failure time of electronic components (in years) 0.01 1.21 1.71 2.29 2.96 0.19 1.22 1.75 2.30 2.98 0.51 1.24 1.78 2.40 3.17 0.57 1.48 1.78 2.46 3.23 0.70 1.54 1.89 2.57 3.28 0.74 1.59 1.90 2.63 1.18 0.75 1.62 1.94 2.63 3.52 0.76 1.61 2.03 2.74 3.50 1.11 1.62 2.16 2.77 3.52 1.15 1.62 2.17 2.84 3.51 SPSS Printout FAILTIME Mean 90% Confidence Interval Lower Bound for Mean Upper Bound 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Range Interquartile Range Skewness Kurtosis Std. Error 1.93660.13140 Statistic 1.7163 2.1569 1.9476 1.8350 0.863 0.92910 0.01 3.52 3.51 1.41 -0.009 0.337 -0.755 0.662