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MCQ SAMPLING AND SAMPLING DISTRIBUTIONS IE-1

 

 

 

 

MCQ SAMPLING AND SAMPLING DISTRIBUTIONS

MCQ 11.1

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Sample is a sub-set of:

 

 

 

 

 

 

 

 

 

 

 

 

(a) Population

 

 

(b) Data

(c) Set

(d) Distribution

MCQ 11.2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Any population constant is called a:

 

 

 

 

 

 

 

 

 

 

 

 

(a) Statistic

(b) Parameter

 

(c) Estimate

 

 

 

 

(d) Estimator

MCQ 11.3

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

List of all the units of the population is called:

 

 

 

 

 

 

 

(a) Random sampling

 

(b) Bias

(c) Sampling frame

 

 

(d) Probability sampling

MCQ 11.4

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Any calculation on the sampling data is called:

 

 

 

 

 

 

 

(a) Parameter

(b) Static

(c)

(d) Error

 

 

 

MCQ 11.5

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Any measure of the population is called:

 

 

 

 

 

 

 

 

 

 

 

 

(a) Finite

(b) Parameter

 

(c) Without replacement

 

(d) Random

MCQ 11.6

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

If all the units of a population are surveyed, it is called:

 

 

 

 

 

 

 

(a) Random sample

(b) Random sampling

(c) Sampled population

(d) Complete enumeration

MCQ 11.7

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Probability distribution of a statistics is called:

 

 

 

 

 

 

 

(a) Sampling

(b) Parameter

(c) Data

(d) Sampling distribution

MCQ 11.8

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The difference between a statistic and the parameter is called:

 

 

 

 

 

 

 

(a) Probability

(b) Sampling error

(c) Random

(d) Non-random

MCQ 11.9

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The sum of the frequencies of the frequency distribution of a statistic is equal to:

 

 

 

(a) Sample size

(b) Population size

(c) Possible samples

 

 

(d) Sum of X values

MCQ 11.10

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Standard deviation of sampling distribution of a statistic is called:

 

 

 

 

 

 

 

(a) Serious error

(b) Dispersion

(c) Standard error

 

 

(d) Difference

MCQ 11.11

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

If we obtain a point estimate   for a population mean µ, the difference between

and µ is:

(a) Standard error

 

(b) Bias

(c) Error of estimation

 

 

(d) Difficult to tell

MCQ 11.12

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

A distribution formed by all possible values of a statistics is called

 

 

 

 

 

 

 

(a) Binomial distribution

 

(b) Hypergeometric distribution

(c) Normal distribution

 

(d) Sampling distribution

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

MCQ 11.13

In probability sampling, probability of selecting an item from the population is known and is:

 

(a) Equal to zero          (b) Non zero                  (c) Equal to one                          (d) All of the above


MCQ 11.14

 

 

 

 

 

 

 

 

 

 

 

 

A population about which we want to get some information is called:

 

 

 

 

(a) Finite population

 

(b) Infinite population

 

(c) Sampling population

(d) Target population

MCQ 11.15

 

 

 

 

 

 

 

 

 

 

 

 

The population consists of the results of repeated trials is named as:

 

 

 

 

(a) Finite population

(b) Infinite population

(c) Real population

(d) Hypothetical population

MCQ 11.16

 

 

 

 

 

 

 

 

 

 

 

 

A population consisting of the items which are all present physically is called:

 

 

 

(a) Finite population

 

(b) Infinite population

 

(c) Real population  (d) Hypothetical population

MCQ 11.17

 

 

 

 

 

 

 

 

 

 

 

 

Study of population is called:

 

 

 

 

 

 

 

 

(a) Parameter

 

(b) Statistic

 

(c) Error

(d) Census

MCQ 11.18

 

 

 

 

 

 

 

 

 

 

 

 

For making voters list in Pakistan we need:

 

 

 

 

 

 

 

 

(a) Sampling error

 

(b) Standard error

 

(c) Census

(d) Simple random sampling

MCQ 11.19

 

 

 

 

 

 

 

 

 

 

 

 

Sampling based upon equal probability is called:

 

 

 

 

 

 

 

 

(a) Probability sampling

 

(b) Systematic sampling

 

 

 

(c) Simple random sampling

 

(d) Stratified random sampling

MCQ 11.20

 

 

 

 

 

 

 

 

 

 

 

 

In sampling with replacement, an element can be chosen:

 

 

 

 

(a) Less than once

 

(b) More than once

 

(c) Only once

(d) Difficult to tell

 

 

 

 

 

 

 

 

 

 

 

 

 

 

MCQ 11.21

Standard deviation of sample mean without replacement__________ standard deviation of sample mean

 

with replacement:

 

 

 

 

 

 

 

 

 

 

(a) Less than

 

(b) More than

(c) 2 times

 

 

(d) Equal to

 

 

 

MCQ 11.22

 

 

 

 

 

 

 

 

 

 

In sampling without replacement, an element can be chosen:

 

 

 

 

 

 

(a) Less than once

(b) More than once

 

(c) Only once

 

(d) Difficult to tell

MCQ 11.23

 

 

 

 

 

 

 

 

 

 

In sampling with replacement, the following is always true:

 

 

 

 

 

 

(a) n = N

(b) n < N

(c) n > N

 

 

(d) All of the above

 

 

MCQ 11.24

 

 

 

 

 

 

 

 

 

 

Which of the following statement is true?

 

 

 

 

 

 

 

 

(a) Standard error is always one

 

(b) Standard error is always zero

 

 

(c) Standard error is always negative

 

(d) Standard error is always positive

MCQ 11.25

 

 

 

 

 

 

 

 

 

 

Random sampling is also called:

 

 

 

 

 

 

 

 

(a) Probability sampling

(b) Non-probability sampling

(c) Sampling error

(d) Random error

MCQ 11.26

 

 

 

 

 

 

 

 

 

 

Non-random sampling is also called:

 

 

 

 

 

 

 

 

(a) Biased sampling

(b) Non-probability sampling   (c) Random sampling

(d) Representative sample

 

 

 

 

 

 

 

 

 

 

 

 


 

MCQ 11.27

 

 

 

 

 

 

 

 

 

 

 

Sampling error can be reducing by:

 

 

 

 

 

 

 

 

(a) Non-probability sampling

(b) Increasing the population

 

(c) Decreasing the sample size

(d) Increasing the sample size

 

MCQ 11.28

 

 

 

 

 

 

 

 

 

 

 

The selection of cricket team for the world cup is called:

 

(a) Random sampling

 

(b) Systematic sampling

 

(c) Purposive sampling

(d) Cluster sampling

MCQ 11.29

 

 

 

 

 

 

 

 

 

 

 

A complete list of all the sapling units is called:

 

 

 

 

 

(a) Sampling design

 

(b) Sampling frame

 

(c) Population frame

(d) Cluster

MCQ 11.30

 

 

 

 

 

 

 

 

 

 

 

A Plan for obtaining a sample from a population is called:

 

(a) Population design

 

 

(b) Sampling design

(c) Sampling frame

(d) Sampling distribution

MCQ 11.31

 

 

 

 

 

 

 

 

 

 

 

If a survey is conducted by a sampling design is called:

 

(a) Sample survey

 

(b) Population survey

 

 

 

(c) Systematic survey

(d) None

 

MCQ 11.32

 

The difference between the expected value of a statistic and the value of the parameter being estimated is called a:

(a) Sampling error

(b) Non-sampling error

(c) Standard error

 

(d) Bias

MCQ 11.33

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The standard deviation of any sampling distribution is called:

 

 

 

 

 

 

 

(a) Standard error

 

(b) Non-sampling error

 

(c) Type- I error

 

(d) Type II-error

MCQ 11.34

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Which of the following statement is not true?

 

 

 

 

 

 

 

 

 

 

(a) S.E(  ) ≠ 0

 

(b) S.E(

) ≠ 1

 

 

 

(c) S.E(

)=-2

(d) All of the above

MCQ 11.35

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The standard error increases when sample size is:

 

 

 

 

 

 

 

 

 

 

(a) Increase

 

(b) Decrease

 

(c) Fixed

 

(d) More than 30

MCQ 11.36

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The mean of sampling distribution of mean is equal to:

 

 

 

 

 

 

 

(a)

 

(b) µ

 

 

 

(c) p

 

 

 

(d) None of the above

 

 

 

MCQ 11.37

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

The mean of the sample means is exactly equal to the:

 

 

 

 

 

 

 

(a) Sample mean

 

(b) Population mean

 

 

(c) Weighted mean

 

 

(d) Combined mean

MCQ 11.38

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(a) E(  )

 

(b) µ

 

 

 

 

 

(c) Both (a) and (b)

(d) None of the above

MCQ 11.39

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

A sample which is free from bias is called:

 

 

 

 

 

 

 

 

 

 

 

 

(a) Biased

 

(b) Unbiased

 

(c) Positively biased

(d) Negatively biased

MCQ 11.40

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

If E(  ) = µ then bias is:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(a) Positive

 

(b) Negative

 

 

 

(c) Zero

 

 

 

 

 

(d) 100%


 

MCQ 11.41

 

 

 

 

 

 

 

 

 

 

 

(a) Unbiased sample variance

(b) Population variance   (c) Biased sample variance  (d) All of the above

MCQ 11.42

 

 

 

 

 

 

 

 

 

(a) Unbiased sample variance

(b) True variance(c) Biased sample variance

(d) Variance of means

 

MCQ 11.43

The sampling procedure in which the population is first divided into homogenous groups and then a sample


 

is drawn from each group is called:

(a) Probability sampling

(c) Stratified random sampling


 

 

(b) Simple random sampling

 

(d) Sampling with replacement

 


MCQ 11.44

When a random sample is drawn from each stratum, it is known as:

(a) Simple random sampling

(b) Stratified random sampling

(c) Probability sampling

(d) Purposive sampling

 

MCQ 11.45

When the procedure of selecting the elements from the population is not based on probability is known as:

 

(a) Purposive sampling     (b) Judgment sampling      (c) Subjective sampling                                                  (d) All of the above

 

MCQ 11.46

Suppose a finite population has 6 items and 2 items are selected at random without replacement,

then all possible samples will be:

 

 

(a) 6

(b) 12

(c) 15

(d) 36

 

MCQ 11.47

 

Suppose a finite population contains 7 items and 3 items are selected at random without replacement, then all possible samples will be:

 

(a) 21                               (b) 35                 (c) 14                                (d) 7

 

MCQ 11.48

 

A population contain N item and all possible sample of size n are selected without replacement. The possible number of sample will be:

(a) N

(b) nN

(c) NC

n

(d) Nn

MCQ 11.49

 

 

 

 

 

Suppose a finite population contains 4 items and 2 items are selected at random with replacement, then all possible samples will be:

 

(a) 6                                  (b) 16                               (c) 8                                  (d) 4

 

MCQ 11.50

 

A population contains 2 items and 4 items are selected at random with replacement, then all possible samples will be:

(a) 16

 

(b) 8

(c) 4C2

(d) 4

MCQ 11.51

 

 

 

 

Suppose a population has N items and n items are selected with replacement. Number of all possible samples will be:

(a) Nn

 

(b) NCn

(c) N

(d) n

MCQ 11.52

 

 

 

 

In random sampling, the probability of selecting an item from the population is:

(a) Unknown

(b) Known

(c) Un-decided

(d) One

MCQ 11.53

 

 

 

 

If N is the size of the population and n is size of the sample, then sampling fraction is:

(a) nN                               (b) Nn                (c) n/N                             (d) NCn



MCQ 11.59

 

 

 

If E(

) = 10 and µ = 10 then bias is equal to:

 

 

 

(a) 0

 

(b) 10

(c) 20

(d) Difficult to tell

MCQ 11.60

 

 

 

If= 10 and µ = 12 then sampling error is equal to:

 

 

(a) 22

(b) 10

(c) 12

(d) 2

 

 

MCQ 11.61

The standard deviation of the distribution of sample means is equal to:




MCQ 11.62

 

 

 

 

 

 

If n = 25,

= 25 and   = 25, then standard error of

will be:

(a) 25

 

(b) 5

(c) 1

 

(d) 0

MCQ 11.63

 

 

 

 

 

 

If E(s2) = 3 and

= 2 then bias will be:

 

 

 

 

(a) 5

 

(b) 3

(c) 2

 

(d) 1

 


 

 

 

 

 



 




 

 

 

 



 

 

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