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Understanding Variability in Statistics MCQ

1. The square of the standard deviation and another measure of a distribution’s spread or dispersion is called variance

True

False

Answer

Correct Answer: True

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2. Unbiased estimate is a conservative estimate of a population parameter.

True

False

Answer

Correct Answer: True

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3. The average deviation for all scores from the mean of a distribution, calculated as the sum of the absolute value of the scores’ deviations from the mean divided by the number of scores is called

Mean deviation

Standard deviation

Positive deviation

Negative deviation

Answer

Correct Answer: Mean deviation

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4. The average amount of variability in a set of scores or the scores’ average deviation from the mean is called

Mean deviation

Standard deviation

Positive deviation

Negative deviation

Answer

Correct Answer: Standard deviation

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5. ____ is a gross measure of variability.

Range

Mean

Median

Mode

Answer

Correct Answer: Range

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6. How much scores differ from one another or, put another way, the amount of spread or dispersion in a set of scores is called

Range

Standard deviation

Variability

Reliability

Answer

Correct Answer: Variability

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7. The standard deviation is ______.

The arithmetic average

The middle score in a distribution after the scores have been ordered from highest to lowest or lowest to highest

The square root of the average squared deviation from the mean

The difference between the lowest and highest scores in the distribution

Answer

Correct Answer: The square root of the average squared deviation from the mean

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8. What are the three tools used to assess variability?

Range, standard deviation, and variance

Mean, median, and mode

Variance, range, and mean

Mean, standard deviation, and skewness

Answer

Correct Answer: Range, standard deviation, and variance

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9. When we square the difference scores when calculating a measure of variability, we are using the ______.

Average deviation

Standard deviation

Range

Mean

Answer

Correct Answer: Standard deviation

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10. When calculated on the same distribution of scores, the average deviation will be ______ the standard deviation.

Less than

Greater than

The same as

Either greater than or the same as

Answer

Correct Answer: Less than

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11. In order to calculate the variance, which of the following must you know?

Range

Mean

Mode

Answer

Correct Answer: Mean

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12. What is another term for variability?

Flux or variation

Scattergram

Skewness

Spread of dispersion

Answer

Correct Answer: Spread of dispersion

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13. Which of the following is not a measure of variability?

Mean

Standard deviation

Variance

Range

Answer

Correct Answer: Mean

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14. When we take the absolute value of the difference scores when calculating a measure of variability, we are using the ______.

Average deviation

Standard deviation

Range

Mean

Answer

Correct Answer: Average deviation

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15. The symbol σ represents the standard deviation for ______.

A sample

The unbiased estimator of the population standard deviation

A population

None of these

Answer

Correct Answer: A population

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16. The symbol S represents the standard deviation for ______.

A sample

The unbiased estimator of the population standard deviation

A population

None of these

Answer

Correct Answer: A sample

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17. The symbol s represents the standard deviation for ______.

A sample

The unbiased estimator of the population standard deviation

A population

None of these

Answer

Correct Answer: The unbiased estimator of the population standard deviation

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18. The range is ______.

The arithmetic average

The middle score in a distribution after the scores have been ordered from highest to lowest or lowest to highest

The average difference between the scores in the distribution and the mean of the distribution

The difference between the lowest and highest scores in the distribution

Answer

Correct Answer: The difference between the lowest and highest scores in the distribution

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19. The calculation of the average deviation differs from the calculation of the standard deviation in that the difference scores are ______.

Squared

Converted to absolute values

Squared and converted to absolute values

Not different

Answer

Correct Answer: Converted to absolute values

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20. Imagine that distribution A contains the following scores: 3, 4, 5, 6, 7. Imagine that distribution B contains the following scores: 1, 3, 5, 8, 10. Distribution A has a standard deviation and a average deviation in comparison to distribution B.

Larger; larger

Smaller; smaller

Larger; smaller

Smaller; larger

Answer

Correct Answer: Smaller; smaller

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21. Which of the following measures scores differ from each other?

Skewness

Kurtosis

Average

Variability

Answer

Correct Answer: Variability

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Statistics MCQs | Topic-wise

MCQ on Analysis of Factorial ANOVA	MCQ on Basic Statistics
MCQ on Chi-Square and Nonparametric Tests in Statistics	MCQ on Computing Correlation Coefficients
MCQ on Computing and Understanding Averages in Statistics	MCQ on Creating Graphs in Statistics
MCQ on Factorial ANOVA Statistics	MCQ on Factorial ANOVA in Statistics
MCQ on Factorial Analysis of Variance in Statistics	MCQ on Gentle and Statistical Introduction
MCQ on Inferential Statistics	MCQ on Introduction to Correlation and Regression
MCQ on Introduction to Getting Most Out of Your BIG Data	MCQ on Introduction to Understanding statistical Reliability and Validity
MCQ on Measures of Central Tendency in Statistics	MCQ on Multiple Comparison Tests in Statistics
MCQ on Nonparametric Statistics	MCQ on One-Factor Completely Randomized Design
MCQ on One-Factor Repeated-Measures Design	MCQ on One-Sample Z Test
MCQ on Other (Important) Statistical Procedures	MCQ on Predicting the Future Statistics
MCQ on Significantly Significant in Statistics	MCQ on Standard Statistics Hypothesis Testing
MCQ on Statistical Probability	MCQ on Statistical Tests Between the Means of Different Groups
MCQ on Statistical Tests Between the Means of Related Groups	MCQ on Statistical Topics, Parameters, and Tests in Statistics
MCQ on Statistics or Sadistics	MCQ on T Test for Dependent Groups
MCQ on T Test for Independent Groups	MCQ on Testing Relationships using Correlation Coefficient
MCQ on Testing Your statistical Questions	MCQ on Try Analysis of Variance in Statistics
MCQ on Understanding Statistical Distributions of Numbers	MCQ on Understanding Variability in Statistics
General Statistics MCQs

Understanding Variability in Statistics MCQ

1. The square of the standard deviation and another measure of a distribution’s spread or dispersion is called variance

2. Unbiased estimate is a conservative estimate of a population parameter.

3. The average deviation for all scores from the mean of a distribution, calculated as the sum of the absolute value of the scores’ deviations from the mean divided by the number of scores is called

4. The average amount of variability in a set of scores or the scores’ average deviation from the mean is called

5. ____ is a gross mea­sure of variability.

6. How much scores differ from one another or, put another way, the amount of spread or dispersion in a set of scores is called

7. The standard deviation is ______.

8. What are the three tools used to assess variability?

9. When we square the difference scores when calculating a measure of variability, we are using the ______.

10. When calculated on the same distribution of scores, the average deviation will be ______ the standard deviation.

11. In order to calculate the variance, which of the following must you know?

12. What is another term for variability?

13. Which of the following is not a measure of variability?

14. When we take the absolute value of the difference scores when calculating a measure of variability, we are using the ______.

15. The symbol σ represents the standard deviation for ______.

16. The symbol S represents the standard deviation for ______.

17. The symbol s represents the standard deviation for ______.

18. The range is ______.

19. The calculation of the average deviation differs from the calculation of the standard deviation in that the difference scores are ______.

20. Imagine that distribution A contains the following scores: 3, 4, 5, 6, 7. Imagine that distribution B contains the following scores: 1, 3, 5, 8, 10. Distribution A has a ______ standard deviation and a ______ average deviation in comparison to distribution B.

21. Which of the following measures scores differ from each other?

5. ____ is a gross measure of variability.

20. Imagine that distribution A contains the following scores: 3, 4, 5, 6, 7. Imagine that distribution B contains the following scores: 1, 3, 5, 8, 10. Distribution A has a standard deviation and a average deviation in comparison to distribution B.