In stratified sampling the strata should be _________?
A. Nonoverlapped
B. Overlapped
C. Same
D. Not equal
Sampling Mcqs
Another name of word population is_________?
Another name of word population is_________?
A. Individuals
B. Whole
C. Universe
D. None of these
Determining sample size for stratum is problem of___________?
Determining sample size for stratum is problem of___________?
A. Sampling
B. Allocation
C. Estimate
D. Population
Collection of information from complete population is called__________?
Collection of information from complete population is called__________?
A. Census
B. Complete enumeration
C. Survey
D. Both A & B
Sampling error cannot occur in__________?
Sampling error cannot occur in__________?
A. Survey
B. Sampling
C. Census
D. None of these
Which sampling procedure we prefer if population is heterogenous?
Which sampling procedure we prefer if population is heterogenous?
A. Cluster sampling
B. Stratified sampling
C. Simple random sampling
D. None of these
Cluster sampling is useful when sampling units are__________?
Cluster sampling is useful when sampling units are__________?
A. Close another
B. Far a part
C. Mixed
D. None of these
A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately ?
A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately ?
A. Normal because is always approximately normally distributed
B. Normal because the sample size is small in comparison to the population size
C. Normal because of the central limit theorem
D. None of these alternatives is correct.
The standard deviation of sampling distribution of a statistics is _________________?
The standard deviation of sampling distribution of a statistics is _________________?
A. Standard error of statistics
B. Sampling error of statistics
C. Sampling distribution of statistics
D. None of these
Convenience sampling is an example of______________?
Convenience sampling is an example of______________?
A. Probabilistic sampling
B. Stratified sampling
C. No probabilistic sampling
D. Cluster sampling