Question

Question 1.

Which of the following is the CORRECT interpretation of a 95% confidence interval?

a) There is a 95% probability that the interval contains the population value

b) There is a 95% chance that the true population value is inside the interval

c) if we sampled from a population repeatedly and created confidence intervals, 95% of those confidence intervals would contain the population mean

d) We are 95% sure of the sample statistic

Question 2.

What is the mean of the sampling distribution?

a) the mean of all the possible sample means

b) the mean of all of the observations in the population

c) the mean of all of the observations in the sample

d) 1

Question 3.

Which of the following is NOT a correct interpretation of the standard error of a mean?

a) the square root of the variance of x_bar

b) the spread of observations in a sample

c) The standard deviation of the sampling distribution

d) The difference between our sample mean and the mean of the sampling distribution

Answer 1

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