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.

# Sampling Mcqs

## In the sampling without replacement a sampling unit can be selected……………?

**A. Only Once**

B. More than once

C. Less than once

D. None of these

## The smallest individuals which constitute the entire population are called ………………?

A. Sampling frame

**B. Sampling units**

C. Sample pop

D. Sample design

## There are ………… probability sampling?

**A. Four**

B. Six

C. Three

D. Seven

## In probability sampling each sampling unit has some………………..?

A. Unknown

B. Large

C. Small

**D. Know**

## Standard deviation of the sampling distribution of a statistics is called………….?

A. Serious error

B. Dispersion

**C. Standard error**

D. Difference

## In w.o.r 2σx=…………………?

A. 26/√n√N – n/N – 1

B. σ/√n√N – n/N – 1

**C. 26/√n N – n/N – 1**

D. 26/√n

## The difference between statistics and parameter is called:…………..?

A. Bias

B. Standard

**C. Sampling error**

D. both (a) and (b)

## Random samples of size 17 are from a population that has 200 elements, a mean of 36, and a standard deviation of 8. which of the following best describes the from of the sampling distribution of the sample mean for this situation ?

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 sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is………..?

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**