Explore key statistical concepts in 'Chapter 4: Central Tendency and Variability'. This quiz assesses understanding of central tendency measures, variability, and their applications. It's ideal for learners aiming to grasp fundamental statistical tools and their practical implications in real-world scenarios.
Mean.
Median.
Percentile.
Mode.
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A measurement based on a sample of scores.
A measure of variability.
A measurement based on a population of scores.
A measure of central tendency.
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Range.
Mode.
Variance.
Standard deviation.
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Statistics; parameters
Parameters; statistics
Descriptive statistics; inferential statistics
Central tendency; variability
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120
1440
2,073,600
570
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Sd
S
SS
SD
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27
17
5
22
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N
Σ
X
μ
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An individual score.
The mean of a sample of scores.
The sum of a sample of scores.
The total number of scores.
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N.
X.
The mean.
SS.
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Mean
Mode
Median
Standard deviation
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SD
S
σ
SS
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Variance
Range
Standard deviation
Sum of squares
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The median, because it is not affected by outliers.
The median, because it is less biased by skewness being dependent on the middle score.
The mean, because it is always the best measure of central tendency in any population.
The mean, because it represents the balance of the distribution.
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All three classes have the same mean.
Photography
Film editing
Abstract art
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The deviations are too small to have a variance without being squared.
There is no variability in the deviations of the scores prior to squaring.
The mean of the deviations balances out to zero due to negative and positive values.
Squaring numbers is fun.
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N.
What we would expect by chance.
The highest score in the distribution.
The mean.
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The sample size is very small.
You made an error in your calculations - it isn't possible to obtain a standard deviation of 0.
The range will also be 0.
There is no variability in the distribution - that is, all of the scores are the same.
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Median.
Any of the three measures of central tendenc
Mean
Mode
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20000
4.77
14.14
200
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12 points
2 points
9 points
6 points
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Sample standard deviation.
Sigma squared.
Sum of squared deviations.
Sum of squared scores
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Variance
Mean
Range
Standard deviation
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6.17
6.5
7
5
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