Sampling Statistics Mcqs

MCQ: A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately ?

1. Normal because is always approximately normally distributed
2. Normal because the sample size is small in comparison to the population size
3. Normal because of the central limit theorem
4. None of these alternatives is correct.

MCQ: The standard deviation of sampling distribution of a statistics is _________________?

1. Standard error of statistics
2. Sampling error of statistics
3. Sampling distribution of statistics
4. None of these

MCQ: For a population with any distribution, the form of the sampling distribution of the sample mean is_____________?

1. Sometimes normal for all sample sizes
2. Sometimes normal for large sample sizes
3. Always normal for all sample sizes
4. Always normal for large sample sizes

MCQ: Convenience sampling is an example of______________?

1. Probabilistic sampling
2. Stratified sampling
3. No probabilistic sampling
4. Cluster sampling

MCQ: The process of dividing a heterogeneous_____________?

1. Random digit
2. Stratification
3. Random Sampling
4. Cluster

MCQ: For a population consisting of 4 members, a sample of size ‘2’ is taken replacement, then the number of all the possible samples are?

1. 4
2. 8
3. 16
4. 32

MCQ: If we increase the sample size, it means that it:_________________?

1. Increases the Standard error
2. Decreases the Standard error
3. Decreases the Standard error
4. Both (a) and (b)

MCQ: Sampling errors are reduced by:___________________?

1. Increasing the sample size
2. Decreasing the sample size
3. Increasing population s.d.
4. None of these

MCQ: In sampling with replacement be t a sampling unit can selected________________?

1. Only once
2. More than once
3. Less than once
4. None

MCQ: A list of sampling _________ is called sampling frame?

1. Point
2. w.r.m
3. w.o.r
4. unit