to create a confidence interval from a bootstrap distribution using percentiles, we keep the middle values and chop off a certain 85%
Added by Jes-S W.
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In this case, we want to create a confidence interval that retains the middle values and excludes 85% of the bootstrap distribution. Show more…
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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.
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.
If we wish to obtain a $95 \%$ confidence interval of a parameter using the bootstrap method, we determine the _____ percentile and the _____ percentile of the resampled distribution.
Estimating the Value of a Parameter
Estimating with Bootstrapping
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