Explore topic-wise MCQs in Statistics .

This section includes 32 Mcqs, each offering curated multiple-choice questions to sharpen your Statistics knowledge and support exam preparation. Choose a topic below to get started.

1.

Which of the following is impossible in sampling ?

A. Destructive tests
B. Heterogeneous data
C. To make voters lists
D. None of these
Answer» D. None of these
2.

To purchase the fruit, we use the _________ sampling?

A. Systematic
B. Cluster
C. Stratified
D. Judgment
Answer» E.
3.

There are ____________ probability sampling?

A. Four
B. Six
C. Three
D. Seven
Answer» B. Six
4.

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
Answer» B. Sampling error of statistics
5.

The smallest individuals which constitute the entire population are called __________________?

A. Sampling frame
B. Sampling units
C. Sample pop
D. Sample design
Answer» C. Sample pop
6.

The sampling error is the_____________?

A. Same as the standard error of the mean
B. Difference between the value of the sample mean and the value of the population mean
C. Error caused by selecting a bad sample
D. Standard deviation multiplied by the sample size
Answer» C. Error caused by selecting a bad sample
7.

The process of selecting sample from the population is called_________________?

A. Sampling process
B. Sampling unit
C. Sampling
D. Size
Answer» D. Size
8.

The process of dividing a heterogeneous_____________?

A. Random digit
B. Stratification
C. Random Sampling
D. Cluster
Answer» C. Random Sampling
9.

The difference between statistics and parameter is called:______________?

A. Bias
B. Standard
C. Sampling error
D. both (a) and (b)
Answer» D. both (a) and (b)
10.

Sampling errors are reduced by:___________________?

A. Increasing the sample size
B. Decreasing the sample size
C. Increasing population s.d.
D. None of these
Answer» B. Decreasing the sample size
11.

Sampling error can reduced by __________________?

A. Non-random sampling
B. Increasing the population
C. Decreasing the sample size
D. Increasing the sample size
Answer» E.
12.

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
Answer» E.
13.

Probability distribution of a statistics is called_________________?

A. Sampling
B. Parameter
C. Data
D. Sampling distribution
Answer» E.
14.

Non-sample errors are reduced by:________________?

A. Increasing the sample size
B. Reduced the amount of data
C. Decreasing the sample standard deviation
D. None of these
Answer» C. Decreasing the sample standard deviation
15.

Non-random sampling is also called___________________?

A. Biased sampling
B. Non-prob.sampling
C. Less than sampling
D. Representative sampling
Answer» C. Less than sampling
16.

N – n/N -1 is called ___________ population?

A. Group
B. Finite
C. Un-finite
D. Correction
Answer» C. Un-finite
17.

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
Answer» D. 26/√n
18.

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
Answer» B. More than once
19.

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

A. Only once
B. More than once
C. Less than once
D. None
Answer» C. Less than once
20.

In probability sampling each sampling unit has some____________________?

A. Unknown
B. Large
C. Small
D. Know
Answer» E.
21.

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

A. Increases the Standard error
B. Decreases the Standard error
C. Decreases the Standard error
D. Both (a) and (b)
Answer» E.
22.

If the sampled population has a normal distribution, when is the sampling distribution of the sample mean X also a normal distribution ?

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.
Answer» D. Only when the sample size is at least 30.
23.

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
Answer» B. μ1 = μx
24.

For making voters lists in Pakistan we need _______________?

A. Simple random sampling
B. Systematic sampling
C. Quota sampling
D. Census
Answer» E.
25.

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
Answer» E.
26.

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

A. 4
B. 8
C. 16
D. 32
Answer» D. 32
27.

Convenience sampling is an example of______________?

A. Probabilistic sampling
B. Stratified sampling
C. No probabilistic sampling
D. Cluster sampling
Answer» D. Cluster sampling
28.

A sampling distribution is the probability distribution for which one of the following___________?

A. A sample
B. A sample statistic
C. A population
D. A population parameter
Answer» C. A population
29.

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.
Answer» D. None of these alternatives is correct.
30.

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
Answer» E.
31.

A sample estimate is used to describe a characteristic of a_____________?

A. Sample
B. Data
C. Population
D. None
Answer» B. Data
32.

A list of sampling _________ is called sampling frame?

A. Point
B. w.r.m
C. w.o.r
D. unit
Answer» D. unit