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# Up To Date Sampling ( Statistics ) MCQs – Most Competitive Statistics MCQs

#### Up To Date Sampling ( Statistics ) MCQs – Most Competitive Statistics MCQs

This post is comprising of latest ” ( Statistics ) MCQs – Latest Competitive MCQs “. Here you’ll get latest Statistics mcqs for written test, interview with answers. If you want to improve your knowledge regarding Statistics then read these mcqs of Design of Steel Structures.

#### Latest Statistics MCQs

By practicing these MCQs of Sampling ( Statistics ) MCQs – Latest Competitive MCQs , an individual for exams performs better than before. This post comprising of objective questions and answers related to Sampling ( Statistics ) Mcqs “. As wise people believe “Perfect Practice make a Man Perfect”. It is therefore practice these mcqs of Statistics to approach the success. Tab this page to check “Sampling ( Statistics )” for the preparation of competitive mcqs, FPSC mcqs, PPSC mcqs, SPSC mcqs, KPPSC mcqs, AJKPSC mcqs, BPSC mcqs, NTS mcqs, PTS mcqs, OTS mcqs, Atomic Energy mcqs, Pak Army mcqs, Pak Navy mcqs, CTS mcqs, ETEA mcqs and others.

#### LatestSampling ( Statistics ) Mcqs

The most occurred mcqs of Sampling ( Statistics ) in past papers. Past papers of Sampling ( Statistics ) Mcqs. Past papers of Sampling ( Statistics ) Mcqs . Mcqs are the necessary part of any competitive / job related exams. The Mcqs having specific numbers in any written test. It is therefore everyone have to learn / remember the related Sampling ( Statistics ) Mcqs. The Important series of Sampling ( Statistics ) Mcqs are given below:

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

A. Normal because the sample size is small in comparison to the population size
B. Normal because is always approximately normally distributed
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 _________________?

A. Standard error of statistics
B. Sampling distribution of statistics
C. Sampling error of statistics
D. None of these

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

A. Sometimes normal for large sample sizes
B. Sometimes normal for all sample sizes
C. Always normal for all sample sizes
D. Always normal for large sample sizes

Convenience sampling is an example of______________?

A. Stratified sampling
B. Probabilistic sampling
C. No probabilistic sampling
D. Cluster sampling

The process of dividing a heterogeneous_____________?

A. Random Sampling
B. Stratification
C. Random digit
D. Cluster

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. 8
B. 4
C. 16
D. 32

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

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

Sampling errors are reduced by:___________________?

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

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

A. Less than once
B. More than once
C. Only once
D. None

A list of sampling _________ is called sampling frame?

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

To purchase the fruit, we use the _________ sampling?

A. Cluster
B. Systematic
C. Stratified
D. Judgment

#### Basics MCQs

Non-random sampling is also called___________________?

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

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

A. A population
B. A sample statistic
C. A sample
D. A population parameter

Selection of s by the students to solve a paper is _________________?

A. Prob.Sampling
B. Non-random sampling
C. Random sampling
D. Sampling with replacement

Probability distribution of a statistics is called_________________?

A. Parameter
B. Sampling
C. Data
D. Sampling distribution

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

A. Un-finite
B. Finite
C. Group
D. Correction

The process of selecting sample from the population is called_________________?

A. Sampling unit
B. Sampling process
C. Sampling
D. Size

Sampling error can reduced by __________________?

A. Increasing the population
B. Non-random sampling
C. Decreasing the sample size
D. Increasing the sample size

Non-sample errors are reduced by:________________?

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

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. Population distribution is uniform
C. μ1 = μx
D. σx = σx /√n

For making voters lists in Pakistan we need _______________?

A. Systematic sampling
B. Simple random sampling
C. Quota sampling
D. Census

Which of the following is impossible in sampling ?

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

The sampling error is the_____________?

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

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

A. Sample
B. Population
C. Data
D. None

A sample of 24 observations is taken from a population that has 150 elements. The sampling distribution of is___________?

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. Approximately normal because of the central limit theorem
D. Normal if the population is normally distributed

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. Exactly
B. Approximately normal because of the central limit theorem
C. Approximately normal because the sample size is small relative to the population size
D. None of these alternatives is correct

The difference between statistics and parameter is called:______________?

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

In w.o.r 2σx=_____________________?

A. σ/√n√N – n/N – 1
B. 26/√n√N – n/N – 1
C. 26/√n N – n/N – 1
D. 26/√n

#### Basics MCQs

Standard deviation of the sampling distribution of a statistics is called_____________?

A. Dispersion
B. Serious error
C. Standard error
D. Difference

In probability sampling each sampling unit has some____________________?

A. Large
B. Unknown
C. Small
D. Know

There are ____________ probability sampling?

A. Four
B. Three
C. Six
D. Seven

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

A. Sample pop
B. Sampling units
C. Sampling frame
D. Sample design

In the sampling without replacement a sampling unit can be selected_______________?

A. Only Once
B. Less than once
C. More than once
D. None of these

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 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.

In Statistics, a population consists of:_____________?

A. All People living in the are under study
B. All People living in a country
C. All subjects or objects whose characteristics are being studied
D. None of the above

Major area of statistics today is concerned with drawing of conclusions from__________?

A. Samples
B. Two
C. Primary
D. Complete study

In statistics, a sample means__________?

A. All the items under investigation
B. A portion of the population
C. A portion of the sample
D. None of the above