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Question 1

Probability distribution of $\bar{X}$ is called its

A

Expected Value

B

Standard Error

C

Sampling Distribution

D

Standard Deviation

E

None of these

Question 2

The sampling technique in which every element of the population has an equal, non-zero probability of being selected in a sample is called

A

Probability Sampling

B

Convenience Sampling

C

Purposive Sampling

D

Quota Sampling

E

Stratified Sampling

Question 3

Bias is

A

Cumulative

B

Decumulative

C

Decreasing

D

None of these

Question 4

A magazine conducts a survey and asks its readers to cut the questionnaire from the magazine, fill it and send it via mail. It is a type of

A

Purposive Sampling

B

Snowball Sampling

C

Sequential Sampling

D

Convenience Sampling

Question 5

If mean of sampling distribution is equal to the parameters then estimators will be

A

Biased

B

Consistent

C

Sufficient

D

Unbiased

E

Invariant

Question 6

Standard error of mean is the standard deviation of the

A

Population

B

Sample

C

Sampling Distribution of $\bar{X}$

D

None of these

Question 7

The sampling Error is

A

Equal to population mean

B

Population parameter

C

The difference between the sample statistic and the population parameter

D

Always Positive

E

Always Negative

Question 8

The height distribution of a few students in a school is an example of

A

Element

B

Parameter

C

Population

D

Statistic

Question 9

The unbiased point estimator of population mean is

A

Sample proportion

B

Sample mean

C

Sample Variance

D

Sample standard deviation

E

None of these

Question 10

Probability distribution of a statistic is called

A

Sampling Distribution

B

Standard Error

C

Sampling Error

D

Parameter

E

Bias

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Test 3

MCQs on Sampling and Sampling Distribution III

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Congratulations - you have completed MCQs on Sampling and Sampling Distribution III.
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Your answers are highlighted below.

Question 1

The sampling procedure that includes all units of the population in the study is called

A

Complete coverage

B

Saturation survey

C

Survey population

D

(a) and (b) above

Question 2

The advantage of using statistical sampling techniques is that such techniques

A

Mathematically measure risk.

B

Eliminate the need for judgmental decisions

C

Are easier to use than other sampling techniques

D

Have been established in the courts to be superior to nonstatistical sampling

Question 3

Which of the following is NOT one of the principles of sampling listed in the text?

A

Sampling units must be identifiable and clearly defined

B

Sampling units must be representative and include males and females

C

Sampling units are not interchangeable

D

Sampling units must be independent from each other

Question 4

Which of the following is not an example of nonsampling risk?

A

Failing to evaluate results properly

B

Use of an audit procedure inappropriate to achieve a given audit objective

C

Obtaining an unrepresentative sample

D

Failure to recognize an error

Question 5

If all other factors specified in an attribute sampling plan remain constant, changing the specified tolerable deviation rate from 6% to 10%, and changing the specified risk from 97% to 93%, would cause the required sample size to

A

Remain the same

B

Increase

C

Decrease

D

Change by 4%

Question 6

Why do sampling errors occur?

A

Differences between sample and population

B

Differences among samples themselves

C

Choice of elements of sampling

D

all of the above

Question 7

Which of the following is an example of using statistical sampling?

A

Statistical sampling will be looked upon by the courts as providing superior audit evidence.

B

Statistical sampling requires the auditor to make fewer judgmental decisions.

C

Statistical sampling aids the auditor in evaluating results.

D

Statistical sampling is more convenient to use than nonstatistical sampling.

Question 8

Probability sampling is the procedure that gives all units

A

A chance to be included in the study

B

An equal chance to be selected

C

An equal, calculable and non-zero chance to be selected

D

(a) and (b) above

Question 9

The sampling procedure in which an interviewer is asked to interview 25 teachers, 50 public servants and 25 farmers is called

A

Stratified sampling

B

Accidental sampling

C

Spatial sampling

D

Quota sampling

Question 10

How is stratified sampling carried out?

A

Divide the population into homogenous groups and select equally but randomly.

B

Assigning numbers to the population & selecting the numbers

C

Sample is made up of elements which are say 10th from the previous selection

D

Population divides itself into groups and we select equally but randomly from each

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Student and Instructor of Statistics and business mathematics.
Currently Ph.D. Scholar (Statistics), Bahauddin Zakariya University Multan.

Like Applied Statistics and Mathematics and Statistical Computing.
Statistical and Mathematical software used are: SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel.

Like to use type-setting LaTeX for composing Articles, thesis etc.

yes you can share MCQ’s type questions. If you have more MCQs then send them by commenting (write mcqs with answers in comment page of contact us) in contact us page. I will update the MCQs database.

Sir I am student of math Msc math in distance learning in comsat virtual campusurse .One of my course of Msc Math is Sampling and Design Analysis. .I am facing a lot of problem for my assignments quizez and gdbs of this course course Would you like to help me

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In R Language, a vector is the simplest data structure. A vector in R is also an object that contains elements having the same data type. To create a vector (say ‘x’) of the same type (say double) of elements consisting of five elements one can use c() function. For example, Creating a vector in […]

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The problem of multicollinearity plagues the numerical stability of regression estimates. It also causes some serious problem in validation and interpretation of the regression model. Consider the usual multiple linear regression model, , where is an vector of observation on dependent variable, is known design matrix of order , having full-column rank , is vector of […]

R language provides an interlocking suite of facilities that make fitting statistical models very simple. The output from statistical models in R language is minimal and one needs to ask for the details by calling extractor functions. Defining Statistical Models; Formulae in R Language The template for a statistical model is a linear regression model […]

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can anybody share MCQ’s type question on this website? if yes then guide me plz………

yes you can share MCQ’s type questions. If you have more MCQs then send them by commenting (write mcqs with answers in comment page of contact us) in contact us page. I will update the MCQs database.

How can I downloaded MCQs regarding Sampling from your website. plz advise me

I am updating MCQs soon will be available in pdf form. wait for that time.

plz provide us pdf form of these MCQs

Its not easy to update the things on website and pdf file. MCQS are being updated gradually.

This is very useful way to revision my lessons

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I am glad to see we have scholar in research.

Assal-0-Alaikum Sir hopes you are well

Sir I am student of math Msc math in distance learning in comsat virtual campusurse .One of my course of Msc Math is Sampling and Design Analysis. .I am facing a lot of problem for my assignments quizez and gdbs of this course course Would you like to help me