Measures of Central Tendency in Statistics MCQs

Measures of Central Tendency in Statistics MCQs

Try to answer these 20 Measures of Central Tendency in Statistics MCQs and check your understanding of the Measures of Central Tendency in Statistics subject.
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1: According to the central limit theorem if the scores in the population are not normally distributed, then the sampling distribution of means will not normally be distributed as the sample size gets larger.

A.   True

B.   False

2: According to empirical rule, approximately_____ % of all normally distributed scores will fall within ±1 standard deviation of the mean.

A.   68

B.   95

C.   98

D.   99

3: According to empirical rule, approximately_____ % of all normally distributed scores will fall within ±2 standard deviation of the mean.

A.   68

B.   95

C.   98

D.   99

4: According to empirical rule, approximately 99% of all normally distributed scores will fall within _____ standard deviations of the mean.

A.   ±1

B.   ±2

C.   ±3

D.   None of these

5: Equivocal results are the test outcomes that are

A.   Unclear

B.   Uncertain

C.   Unreadable

D.   All of these

6: Intermediate results is a condition when a test’s outcome is _____

A.   Only positive

B.   Only negative

C.   Either positive or negative

D.   Neither positive nor negative

7: Intermediate results is a condition when a test’s outcome is _____

A.   Only positive

B.   Only negative

C.   Either positive or negative

D.   Neither positive nor negative

8: Klinker is a term used for a datum that is_____

A.   Wrong

B.   Inappropriate

C.   Slightly different

D.   Both a and b

9: The arithmetical_____ of a set of scores is called mean.

A.   Sum

B.   Division

C.   Average

D.   None of these

10: Parameters that measure the center of a frequency distribution refer to_____

A.   Measure of variation

B.   Measure of central tendency

C.   Measure of kurtosis

D.   Measure of reliability

11: Measures of variation means the parameters that measure the tendency of scores to be _____ to the center point.

A.   Close

B.   Far away

C.   At center

D.   Both a and b

12: Median is the _____ score.

A.   Average

B.   Equally Distributed

C.   Frequently occurred

D.   All of these

13: Mode is the_____ score.

A.   Average

B.   Equally Distributed

C.   Frequently occurred

D.   All of these

14: Mode is the_____ score.

A.   Average

B.   Equally Distributed

C.   Frequently occurred

D.   All of these

15: All are true about outlier except_____

A.   Deviant scores that have been legitimately gathered

B.   They are uncommon scores

C.   They range far from the central tendency of the data set

D.   They range close to the central tendency of the data set

16: Range is the _____ score.

A.   Lowest

B.   Highest

C.   Average

D.   Both a and b

17: If the means of samples from the same population are formed into a frequency distribution, then the result is a _____

A.   Probability distribution

B.   Sample distribution

C.   Uniform distribution

D.   None of these

18: Standard deviation is a parameter of variability of data about the_____

A.   Mean score

B.   Median score

C.   Mode score

D.   Range score

19: Standard error of the mean is the _____ of a sampling distribution of means.

A.   Variance

B.   Standard deviation

C.   Standard score

D.   None of these

20: Unbiased estimator is a sample parameter that has an overall tendency to either overestimate or underestimate the population value.

A.   True

B.   False

21: Uninterpretable results is a condition when a test’s outcome is invalid because the test has not been given according to its correct instructions or directions.

A.   True

B.   False

22: Variance is the_____ of standard deviation.

A.   Sum

B.   Square

C.   Sum of square

D.   Square of sum