confidence intervals

Question 1

what do confidence intervals define

Answer 1

a plausible range of values for the population parameter

Question 2

what is needed to estimate confidence intervals

Answer 2

confidence level and a measure of sampling variability (SE/bootstrap SE)

Question 3

how are confidence intervals interpreted

Answer 3

across repeated sample, x% confidence intervals would be expected to contain the true population parameter

Question 4

what are we confident in?

Answer 4

that our upper and lower intervals will contain the true mean of the population

Question 5

most common confidence intervals

Answer 5

68%
95%
99.7%

Question 6

68% confidence intervals

Answer 6

fall within 1 standard deviaiton of the mean

Question 7

95% confidence intervals

Answer 7

falls within 1.96 standard deviation of the mean

Question 8

99.7% confidence intervals

Answer 8

falls within 3 standard deviation of the mean

Question 9

how to calculate the bounds of a 95% confidence interval

Answer 9

lower bound = mean - 1.96 * standard error
upper bound = mean + 1.96 * standard error