Question

For the bootstrap distribution with 1000 values:

(a) 95% confidence level: Chop off __ values from each end.
(b) 85% confidence level: Chop off __ values from each end.
(c) 98% confidence level: Chop off __ values from each end.
(d) 99% confidence level: Chop off __ values from each end.

Answer 1

For different confidence levels, we need to chop off different percentages of values from each end of the bootstrap distribution

Step-by-step explanation:

For a 95% confidence level, we need to chop off 2.5% of the values from each end of the bootstrap distribution. So, we would chop off 25 values from each end.

For an 85% confidence level, we need to chop off 7.5% of the values from each end of the bootstrap distribution. So, we would chop off 75 values from each end.

For a 98% confidence level, we need to chop off 1% of the values from each end of the bootstrap distribution. So, we would chop off 10 values from each end.

For a 99% confidence level, we need to chop off 0.5% of the values from each end of the bootstrap distribution. So, we would chop off 5 values from each end.