Use the information on the percentiles from a bootstrap distribution of the mean commute distance of Pullman citizens to answer the questions that follow.
0.5% 1.0% 2.0% 2.5% 5.0% 95.0% 97.5% 98.0% 99.0% 99.5%
Percentile −0.945 −0.940 −0.931 −0.928 −0.919 −0.741 −0.723 −0.717 −0.705 −0.689
(a) Estimate a 95% Confidence Interval and interpret your results.
(c) Estimate a 90% Confidence Interval and interpret your results.
Percentile | 0.50% | 1% | 2% | 2.50% | 5% | 95% | 97.50% | 98% | 99% | 99.50% |
Value of Percentile | -0.945 | -0.94 | -0.93 | -0.928 | -0.919 | -0.741 | -0.723 | -0.717 | -0.705 | -0.689 |
The P% confidence interval is given by the value of the middle of p% of the bootstrap sample
i. 95% Confidence Interval is given by {2.50, 95.50 } [ In the given example keep the middle 95% and leaving 2.5% in each tail}
The 95% Confidence Interval is given by {-0.928 , -0.723}.i.e. We are 95% confident that mean commute distance of Pullman citizens lies between {-0.928, -0.723}
i. 90% Confidence Interval is given by {5, 95} [ In the given example keep the middle 90% and leaving 5% in each tail}
The 90% Confidence Interval is given by {-0.919, -0.741}.i.e. We are 90% confident that mean commute distance of Pullman citizens lies between {-0.919, -0.741}
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