to create a confidence interval from a bootstrap distribution using percentiles, we keep the middle values and chop off a certain
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To create a confidence interval from a bootstrap distribution using percentiles, we keep the middle values and chop off a certain percent from each tail. Indicated what percent of vales must be chopped off from each tail for each confidence level given. a) To create an 80% confidence interval, we should chop off BLANK from each tail. b) To create an 88% confidence interval, we should chop off BLANK from each tail. c) To create an 92% confidence interval, we should chop off BLANK from each tail. d) To create an 96% confidence interval, we should chop off BLANK from each tail.
K S.
Question 6 To create a confidence interval from a bootstrap distribution using percentiles, we keep the middle values and chop off some number of the lowest values and the highest values. If our bootstrap distribution contains values for 1000 bootstrap samples, indicate how many we chop off at each end for each confidence level given. Enter the exact answers to all parts. (a) 95 % We should chop off values from each end. exact number, no tolerance (b) 85 % We should chop off values from each end. exact number, no tolerance (c) 98 % We should chop off values from each end. exact number, no tolerance (d) 99 % We should chop off values from each end.
Cg G.
In Example A of Section $10.4 .6,$ a $90 \%$ bootstrap confidence interval based on the trimmed mean was found to be $(133.65,135.58) .$ Compare these values to the list of data values given in Section 10.4 .1 and observe that 133.65 is smaller than the smallest observation. Explain why the bootstrap confidence interval extends so far in this direction.
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