A. Increasing the sample size
B. Reduced the amount of data
C. Decreasing the sample standard deviation
D. None of these

A. Population distribution is normal
B. μ1 = μx
C. Population distribution is uniform
D. σx = σx /√n

A. Simple random sampling
B. Systematic sampling
C. Quota sampling
D. Census

A. Destructive tests
B. Heterogeneous data
C. To make voters lists
D. None of these

A. Sample
B. Data
C. Population
D. None

A. Same as the standard error of the mean
B. Difference between the value of the sample mean and the value of the population mean
C. Error caused by selecting a bad sample
D. Standard deviation multiplied by the sample size

A. Approximately normal because is always approximately normally distributed
B. Approximately normal because the sample size is large in comparsion to the population size
C. Approximately normal because of the central limit theorem
D. Normal if the population is normally distributed

A. Approximately normal because the sample size is small relative to the population size
B. Approximately normal because of the central limit theorem
C. Exactly
D. None of these alternatives is correct

A. Bias
B. Standard
C. Sampling error
D. both (a) and (b)