1. Bias of a statistic refers to
A. the difference between a statistic and the actual parameter.
B. whether or not questions were worded fairly.
C. the difference between a sampling distribution mean and the parameter.
2. The mean of a sample is 22.5. The mean of 1000 bootstrapped samples is 22.491. The bias of the bootstrap mean is
A. 0.009.
B. 0.0045.
C. 0.09.
3. A sample of size 8 had a mean of 22.5. It was bootstrapped 1000 times and the mean of the bootstrap distribution was 22.491. The standard deviation of the bootstrap was 2.334. The 95% t confidence interval for the population mean is
A. 22.491 ± 5.52.
B. 22.5 ± 5.52.
C. 22.5 ± 5.38.