Questions: 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 we want a 82% confidence interval, what percent of values should we chop off at each end?

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 we want a 82% confidence interval, what percent of values should we chop off at each end?
Transcript text: 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 we want a $82 \%$ confidence interval, what percent of values should we chop off at each end?
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Solution

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Solution Steps

Step 1: Determine the Confidence Level

To create a confidence interval using percentiles, we start with the desired confidence level, which is given as 82% 82\% . This means that we want to capture 82% 82\% of the data in the middle of our distribution.

Step 2: Calculate the Remaining Percentage

The remaining percentage of the data that is not included in the confidence interval can be calculated as: 10.82=0.18 1 - 0.82 = 0.18 This 18% 18\% represents the total percentage of values that we will chop off from both ends of the distribution.

Step 3: Split the Remaining Percentage

Since we are chopping off values from both the lower and upper ends of the distribution, we divide the remaining percentage by 2 2 : 0.182=0.09 \frac{0.18}{2} = 0.09 This indicates that 9% 9\% of the values will be chopped off from each end of the distribution.

Step 4: Convert to Percentage

To express this in percentage terms, we multiply by 100 100 : 0.09×100=9.00% 0.09 \times 100 = 9.00\%

Final Answer

The percentage of values to chop off at each end for an 82% 82\% confidence interval is \\(\boxed{9.00\%}\\).

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