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Measures of Central Tendency in Statistics MCQ

Variance is the_____ of standard deviation.

Answer

Correct Answer: Square

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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.

Answer

Correct Answer: True

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

Answer

Correct Answer: False

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

Answer

Correct Answer: Standard deviation

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Standard deviation is a parameter of variability of data about the_____

Answer

Correct Answer: Mean score

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

Answer

Correct Answer: Sample distribution

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Range is the _____ score.

Answer

Correct Answer: Both a and b

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All are true about outlier except_____

Answer

Correct Answer: They range close to the central tendency of the data set

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Mode is the_____ score.

Answer

Correct Answer: Frequently occurred

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Mode is the_____ score.

Answer

Correct Answer: Frequently occurred

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Median is the _____ score.

Answer

Correct Answer: Equally Distributed

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

Answer

Correct Answer: Both a and b

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Parameters that measure the center of a frequency distribution refer to_____

Answer

Correct Answer: Measure of central tendency

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The arithmetical_____ of a set of scores is called mean.

Answer

Correct Answer: Average

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Klinker is a term used for a datum that is_____

Answer

Correct Answer: Both a and b

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

Answer

Correct Answer: Neither positive nor negative

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

Answer

Correct Answer: Neither positive nor negative

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Equivocal results are the test outcomes that are

Answer

Correct Answer: All of these

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

Answer

Correct Answer: ±3

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

Answer

Correct Answer: 95

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

Answer

Correct Answer: 68

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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.

Answer

Correct Answer: False

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