A. Cluster sampling
B. Stratified sampling
C. Simple random sampling
D. None of these
Submitted by: Nimra Shaheen
Related 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 - In probability sampling each sampling unit has some____________________?
A. Unknown
B. Large
C. Small
D. Know - If in a sampling distribution of X the sample size is 25, what assumption must hold for the sampling distribution of X to be normal ?
A. Population distribution is normal
B. μ1 = μx
C. Population distribution is uniform
D. σx = σx /√n - A list of sampling _________ is called sampling frame?
A. Point
B. w.r.m
C. w.o.r
D. unit - In sampling with replacement be t a sampling unit can selected________________?
A. Only once
B. More than once
C. Less than once
D. None - Cluster sampling is useful when sampling units are__________?
A. Close another
B. Far a part
C. Mixed
D. None of theseSubmitted by: Nimra Shaheen
- Which sampling method we will apply if there is no sampling frame?
A. Systematic sampling
B. Cluster sampling
C. Simple random sampling
D. Stratified samplingSubmitted by: Nimra Shaheen
- 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 - For a population with any distribution, the form of the sampling distribution of the sample mean is_____________?
A. Sometimes normal for all sample sizes
B. Sometimes normal for large sample sizes
C. Always normal for all sample sizes
D. Always normal for large sample sizes