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# Lecturer Statistics Solved MCQS Past Papers pdf

Lecturer Statistics Solved MCQS Past Papers pdf for kppsc and ppsc exams test preparation

1.Sampling is a.
A. Formula
B. Result
C. Variable
D. Technique

2.The numerical value calculated from population data is called.
A. Statistic
B. Parameter
C. Estimate
D. Estimation

3.The value estimated from sample data is known as.
A. Estimate
B. Parameter
C. Estimation
D. Statistic

4.A statistical population is defined as.
A. Totality of all individuals
B. Element
C. Unit
D. Set

5.A set of n sampling units selected from a population is called.
A. A sample of size n
B. Sampling element
C. Sample
D. Unit

6.A population can be either.
A. Finite and infinite
B. Constant
C. Variable
D. Fixed

7.A definite statistical plan concerned with all steps taken in the selection of a sample.
A. Sampling frame
B. Sampling design
C. Sampling element
D. Sampling unit

8.A complete list or a map that contains all the N sampling units in a population is called.
A. Sampling frame
B. Sampling design
C. Domain of study
D. Sub set of population

9.Sampling methods are divided into.
A. Two main categories
B. Three main categories
C. Four main categories
D. None of the above

10.Samples may be selected.
A. With and without replacement
B. With replacement only
C. Without replacement only
D. None of the above

11.The difference between sample mean and population parameter is called.
A. Standard deviation
B. Standard error
C. Sampling error
D. Random error

12.Standard deviation measures the variation found in.
A. Sample data
B. Population data
C. Sampling distribution
D. Random error

13.Standard error measures the variability in.
A. Population
B. Sample
C. Survey
D. Estimation

14.Stratified random sampling and simple random sampling are.
A. Probability sampling techniques
B. Non probability sampling techniques
C. Same
D. None of the above

15.Simple random sampling is a.
A. Probability sampling technique
B. Non probability sampling technique
C. Quota sampling
D. Stratified random sampling

16.When each element in the population has equal chance of selection is called.
A. Stratified random sampling
B. Simple random sampling
C. Quota sampling
D. Systematic sampling

17.Cluster sampling and systematic sampling are.
A. Same
B. Different
C. Probability sampling techniques
D. None of the above

18.Estimation is a.
A. Formula
B. Result
C. Process
D. None of the above

19.Estimate is a.
A. Result
B. Formula
C. Procedure
D. None of the above

20.Which of the following is a necessary condition for using a t-distribution table.
A. N is small
B. S is known but sigma is not
C. The population is infinite
D. Both a and b

21.A judge acquit an innocent person. It is an example of.
A. Type first error
B. Type second error
C. Correct decision
D. None

22.A deserving player is not selected in the team, it is an example of.
A. Type I error
B. Type II error
C. Both
D. None

23.Rejecting null hypothesis when it is false.
A. Type I error
B. Type II error
C. Correct decision
D. None

24.Accepting null hypothesis when it is true.
A. Type I error
B. Type II error
C. Correct decision
D. None

25.A misfit person is not selected for the job.
A. Type I error
B. Type II error
C. Both
D. None

26.Power of the test is denoted by.
A. 1- alpha
B. Alpha
C. 1- beta
D. Beta

27.The probability of rejecting null hypothesis when it is false.
A. Error
B. Power of the test
C. Type 1 error
D. None

28.In a randomized complete block design with four treatments and four blocks, the number of degree of
freedom for error is.
A. 12
B. 9
C. 6
D. 3

29.In a Latin square design with four treatments allocated to a 4*4 design, the number of degrees of
freedom for error is.
A. 12
B. 9
C. 6
D. 3