Sampling Mcqs

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)

A. 26/√n√N – n/N – 1
B. σ/√n√N – n/N – 1
C. 26/√n N – n/N – 1
D. 26/√n

A. Serious error
B. Dispersion
C. Standard error
D. Difference

A. Unknown
B. Large
C. Small
D. Know

A. Four
B. Six
C. Three
D. Seven

A. Only Once
B. More than once
C. Less than once
D. None of these

A. Only when the sample size is at least 100.
B. Only when the sample size is smaller than 30
C. Always
D. Only when the sample size is at least 30.