Wear-out failure time of electronic components is often assumed to have a normal distribution. A lot of 20 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 life time. The accompanying data give the failure times (in years) of the 20 panels, followed by an SPSS printout of the analysis of the data.

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?

Wear-out failure time of electronic components in years

0.03

1.75

3.21

2.47

1.72

2.85

0.77

1.67

2.42

1.81

1.66

3.17

0.51

1.47

0.13

2.92

2.08

1.66

2.11

3.43

SPSS Prinout

Statistic	Std. Error
Mean	1.8920	0.22087
90% Confidence Interval for Mean, Lower Bound	1.5101
90% Confidence Interval for Mean, Upper Bound	2.2739
10% Trimmed Mean	1.9100
Median	1.7800
Variance	0.976
Std. Deviation	0.98777
Minimum	0.03
Maximum	3.43
Range	3.40
Interquartile Range	1.10
Skewness	-0.218	0.548
Kurtosis	-0.651	1.095