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?
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?
Solution
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%. This means that we want to capture 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:
1−0.82=0.18
This 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:
20.18=0.09
This indicates that 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:
0.09×100=9.00%
Final Answer
The percentage of values to chop off at each end for an 82% confidence interval is \\(\boxed{9.00\%}\\).