sampling Mcqs
1. If the sampled population has a normal distribution, when is the sampling distribution of the sample mean X also a normal distribution ?
comments icon0

A. Only when the sample size is smaller than 30

B. Only when the sample size is at least 100.

C. Always

D. Only when the sample size is at least 30.

2. A sample estimate is used to describe a characteristic of a_____________?
comments icon0
A. Sample

B. Data

C. Population

D. None

3. In the sampling without replacement a sampling unit can be selected_______________?
comments icon0

A. None of these

B. More than once

C. Less than once

D. Only Once
4. There are ____________ probability sampling?
comments icon0

A. Six

B. Three

C. Four

D. Seven

5. Non-sample errors are reduced by:________________?
comments icon0

A. None of these

B. Decreasing the sample standard deviation

C. Increasing the sample size

D. Reduced the amount of data
6. Which of the following is impossible in sampling ?
comments icon0
A. To make voters lists

B. Destructive tests

C. None of these

D. Heterogeneous data

7. The smallest individuals which constitute the entire population are called __________________?
comments icon0

A. Sample design

B. Sampling units

C. Sampling frame

D. Sample pop

8. If we increase the sample size, it means that it:_________________?
comments icon0

A. Increases the Standard error

B. Decreases the Standard error

C. Decreases the Standard error

D. Both (a) and (b)
9. The difference between statistics and parameter is called:______________?
comments icon0

A. Bias

B. Standard

C. Sampling error

D. both (a) and (b)

10. Another name of word population is_________?
comments icon0

A. None of these

B. Universe

C. Whole

D. Individuals

11. Which sampling procedure we prefer if population is heterogenous?
comments icon0

A. None of these

B. Stratified sampling

C. Simple random sampling

D. Cluster sampling

12. Probability distribution of a statistics is called_________________?
comments icon0

A. Sampling

B. Parameter

C. Data

D. Sampling distribution
13. In sampling with replacement be t a sampling unit can selected________________?
comments icon0

A. None

B. Less than once

C. Only once

D. More than once
14. Collection of information from complete population is called__________?
comments icon0

A. Census

B. Complete enumeration

C. Survey

D. Both A & B
15. Sampling error can reduced by __________________?
comments icon0

A. Non-random sampling

B. Increasing the sample size

C. Increasing the population

D. Decreasing the sample size

16. Non-random sampling is also called___________________?
comments icon0

A. Less than sampling

B. Biased sampling

C. Representative sampling

D. Non-prob.sampling
17. The process of selecting sample from the population is called_________________?
comments icon0

A. Size

B. Sampling

C. Sampling unit

D. Sampling process

18. Selection of s by the students to solve a paper is _________________?
comments icon0

A. Random sampling

B. Prob.Sampling

C. Non-random sampling

D. Sampling with replacement

19. Major area of statistics today is concerned with drawing of conclusions from__________?
comments icon0

A. Complete study

B. Samples

C. Primary

D. Two

20. Sampling errors are reduced by:___________________?
comments icon0
A. Increasing the sample size

B. None of these

C. Increasing population s.d.

D. Decreasing the sample size

21. The sampling error is the_____________?
comments icon0

A. Same as the standard error of the mean

B. Error caused by selecting a bad sample

C. Standard deviation multiplied by the sample size

D. Difference between the value of the sample mean and the value of the population mean
22. In statistics, a sample means__________?
comments icon0
A. A portion of the population

B. All the items under investigation

C. None of the above

D. A portion of the sample

23. Sampling error cannot occur in__________?
comments icon0
A. Census

B. Sampling

C. None of these

D. Survey

24. Determining sample size for stratum is problem of___________?
comments icon0

A. Population

B. Sampling

C. Estimate

D. Allocation
25. In Statistics, a population consists of:_____________?
comments icon0

A. All People living in a country

B. All People living in the are under study

C. All subjects or objects whose characteristics are being studied

D. None of the above

26. In w.o.r 2?x=_____________________?
comments icon0

A. ?/?n?N n/N 1

B. 26/?n?N n/N 1

C. 26/?n

D. 26/?n N n/N 1
27. A list of sampling _________ is called sampling frame?
comments icon0

A. Point

B. unit

C. w.r.m

D. w.o.r
28. A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is___________?
comments icon0

A. Approximately normal because the sample size is large in comparsion to the population size

B. Approximately normal because is always approximately normally distributed

C. Normal if the population is normally distributed

D. Approximately normal because of the central limit theorem

29. 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 ?
comments icon0

A. ?x = ?x /?n

B. Population distribution is normal

C. Population distribution is uniform

D. ?1 = ?x

30. The standard deviation of sampling distribution of a statistics is _________________?
comments icon0

A. Sampling error of statistics

B. Standard error of statistics

C. Sampling distribution of statistics

D. None of these

31. For a population with any distribution, the form of the sampling distribution of the sample mean is_____________?
comments icon0

A. Sometimes normal for large sample sizes

B. Always normal for large sample sizes

C. Always normal for all sample sizes

D. Sometimes normal for all sample sizes

32. In probability sampling each sampling unit has some____________________?
comments icon0
A. Know

B. Small

C. Unknown

D. Large

33. A sample of 92 observations is taken from an infinite population. The sampling distribution of is approximately ?
comments icon0

A. None of these alternatives is correct.

B. Normal because of the central limit theorem

C. Normal because is always approximately normally distributed

D. Normal because the sample size is small in comparison to the population size

34. Cluster sampling is useful when sampling units are__________?
comments icon0

A. None of these

B. Close another

C. Mixed

D. Far a part
35. A sampling distribution is the probability distribution for which one of the following___________?
comments icon0

A. A sample

B. A sample statistic

C. A population

D. A population parameter

36. For making voters lists in Pakistan we need _______________?
comments icon0

A. Simple random sampling

B. Quota sampling

C. Systematic sampling

D. Census
37. N n/N -1 is called ___________ population?
comments icon0

A. Group

B. Finite

C. Correction

D. Un-finite

38. The process of dividing a heterogeneous_____________?
comments icon0

A. Cluster

B. Random Sampling

C. Stratification

D. Random digit

39. 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 ?
comments icon0

A. Exactly

B. Approximately normal because the sample size is small relative to the population size

C. None of these alternatives is correct

D. Approximately normal because of the central limit theorem

40. Convenience sampling is an example of______________?
comments icon0

A. Stratified sampling

B. Probabilistic sampling

C. Cluster sampling

D. No probabilistic sampling
41. To purchase the fruit, we use the _________ sampling?
comments icon0

A. Stratified

B. Judgment

C. Systematic

D. Cluster

42. For a population consisting of 4 members, a sample of size 2 is taken replacement, then the number of all the possible samples are?
comments icon0

A. 4

B. 8

C. 32

D. 16
43. In stratified sampling the strata should be _________?
comments icon0
A. Nonoverlapped

B. Overlapped

C. Not equal

D. Same

44. Standard deviation of the sampling distribution of a statistics is called_____________?
comments icon0

A. Dispersion

B. Standard error

C. Difference

D. Serious error