Understanding Variability in Statistics MCQs
Understanding Variability in Statistics MCQs
Our experts have gathered these Understanding Variability in Statistics MCQs through research, and we hope that you will be able to see how much knowledge base you have for the subject of Understanding Variability in Statistics by answering these 20 multiple-choice questions.
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1: Which of the following measures scores differ from each other?
A. Skewness
B. Kurtosis
C. Average
D. Variability
2: 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.
A. Larger; larger
B. Smaller; smaller
C. Larger; smaller
D. Smaller; larger
3: The calculation of the average deviation differs from the calculation of the standard deviation in that the difference scores are ______.
A. Squared
B. Converted to absolute values
C. Squared and converted to absolute values
D. Not different
4: The range is ______.
A. The arithmetic average
B. The middle score in a distribution after the scores have been ordered from highest to lowest or lowest to highest
C. The average difference between the scores in the distribution and the mean of the distribution
D. The difference between the lowest and highest scores in the distribution
5: The symbol s represents the standard deviation for ______.
A. A sample
B. The unbiased estimator of the population standard deviation
C. A population
D. None of these
6: The symbol S represents the standard deviation for ______.
A. A sample
B. The unbiased estimator of the population standard deviation
C. A population
D. None of these
7: The symbol σ represents the standard deviation for ______.
A. A sample
B. The unbiased estimator of the population standard deviation
C. A population
D. None of these
8: When we take the absolute value of the difference scores when calculating a measure of variability, we are using the ______.
A. Average deviation
B. Standard deviation
C. Range
D. Mean
9: Which of the following is not a measure of variability?
A. Mean
B. Standard deviation
C. Variance
D. Range
10: What is another term for variability?
A. Flux or variation
B. Scattergram
C. Skewness
D. Spread of dispersion
11: In order to calculate the variance, which of the following must you know?
A. Range
B. Range
C. Mean
D. Mode
12: When calculated on the same distribution of scores, the average deviation will be ______ the standard deviation.
A. Less than
B. Greater than
C. The same as
D. Either greater than or the same as
13: When we square the difference scores when calculating a measure of variability, we are using the ______.
A. Average deviation
B. Standard deviation
C. Range
D. Mean
14: What are the three tools used to assess variability?
A. Range, standard deviation, and variance
B. Mean, median, and mode
C. Variance, range, and mean
D. Mean, standard deviation, and skewness
15: The standard deviation is ______.
A. The arithmetic average
B. The middle score in a distribution after the scores have been ordered from highest to lowest or lowest to highest
C. The square root of the average squared deviation from the mean
D. The difference between the lowest and highest scores in the distribution
16: How much scores differ from one another or, put another way, the amount of spread or dispersion in a set of scores is called
A. Range
B. Standard deviation
C. Variability
D. Reliability
17: ____ is a gross measure of variability.
A. Range
B. Mean
C. Median
D. Mode
18: The average amount of variability in a set of scores or the scores’ average deviation from the mean is called
A. Mean deviation
B. Standard deviation
C. Positive deviation
D. Negative deviation
19: 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
A. Mean deviation
B. Standard deviation
C. Positive deviation
D. Negative deviation
20: Unbiased estimate is a conservative estimate of a population parameter.
A. True
B. False
21: The square of the standard deviation and another measure of a distribution’s spread or dispersion is called variance
A. True
B. False
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Understanding Variability in Statistics MCQs
