SAMPLING MCQ

IMPORTANT SAMPLING MCQ

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

EXPLANATION--a quantity or statistical measure that, for a given population, is fixed and that is used as
the value of a variable in some general distribution or frequency function to make it descriptive of
that population: The mean and variance of apopulation are population parameters.
Parameters are numbers that summarize data for an entire population. Statistics are numbers that summarize data
from a sample, i.e. some subset of the entire population

MCQ 11.3
List of all the units of the population is called:
(a) Random sampling (b) Bias (c) Sampling frame (d) Probability sampling

EXPLANATION---In statistics, a sampling frame is the source material or device from which a sample is
drawn. It is a list of all those within a population who can be sampled, and may include individuals,
households or institutions. Importance of the sampling frame is stressed by Jessen and Salant and Dillman.

MCQ 11.4
Any calculation on the sampling data is called:
(a) Parameter (b) Static (c) (d) Error
EXPLANATION---Static, in C#, is a keyword that can be used to declare a member of a type so that it is specific to
that type. The static modifier can be used with a class, field, method, property, operator, event or constructor.
A static member of a class can be used to keep track of the instances created and maintain common data to be
shared among all instances. It can be used in helper and utility classes, which usually contain generic methods
that contain abstractions of pure logic. A static constructor is used to make entries in log files, as well as in
wrapper class to load the dynamic link libraries (DLLs) required to execute unmanaged code

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

EXPLANATION-- Two overarching factors—the legendary mobility of Aboriginal people
coupled with the logistical necessity of the rolling census under the present arrangements for
enumerating Indigenous populations in remote regions—militate against the achievement of a
'perfect' enumeration. In terms of coverage, the enumeration at community A was as good as it
could be: as far as I could ascertain, there was no systematic

TABS A B C
TABS-1 120 100 80
TABS -2 80 90 110
TBS- 3 110 140 120

2. SIZE = 3*3= 6
N= 3
A1---B2----C3= 120+90+120 =330

MCQ 11.7
Probability distribution of a statistics is called:
(a) Sampling (b) Parameter (c) Data (d) Sampling distribution

EXPLANATION - A sampling distribution is a probability distributionof a statistic obtained through
a large number of samples drawn from a specific population. The sampling distribution of a given
population is thedistribution of frequencies of a range of different outcomes that could possibly occur
for a statistic of a population.

MCQ 11.8
The difference between a statistic and the parameter is called:
(a) Probability (b) Sampling error (c) Random (d) Non-random
EXPLANATION- A sampling error is a statistical error that occurs when an analyst does not select a sample that
represents the entire population of data and the results found in the sample do not represent the results that would be
obtained from the entire population. Sampling is an analysis performed by selecting by specific number of observations
from a larger population, and this work can produce both sampling errors and nonsampling errors.

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

EXPLANATION---Standard error is the approximate standard deviation of a statistical sample population.
Standard error is a statistical term that measures the accuracy with which a sample represents a population. In
statistics, a sample mean deviates from the actual mean of a population; this deviation is the standard error.



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

3. 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

4. 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%

5. 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 (b) Simple random sampling
(c) Stratified 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) n
N
(c)
N
Cn (d) N
n

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)
4
C2 (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) N
n
(b)
N
Cn (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) n
N
(b) N
n
(c) n/N (d)
N
Cn

6. MCQ 11.54