Exam 3: Measures of Central Tendency and Variability

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When variables are measured on an ordinal level that departs markedly from interval characteristics,the standard deviation is the best measure of variability.

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In practice,the three measures of central tendency will almost always be equal to one another.

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The sum of squared deviations from the _____ will always be _____ the sum of squared deviations around any other value.

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The extent to which scores in a distribution differ is indicated by _____.

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What does the variability of a set of scores refer to?

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The variance is the:

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The interquartile range has been criticized because it does not take into account:

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When a quantitative variable is measured on an ordinal level that departs markedly from interval characteristics,the mean is the most meaningful measure of central tendency.

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Fill in the following table. Fill in the following table.     What is the median of the distribution or 50<sup>th</sup> percentile? What is the median of the distribution or 50th percentile?

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The formula for computing the median is based on the assumption that the median occurs within the real limits of the middle score(s).

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A distribution that has a mean of 10 SD of 5 is much more_____than a distribution with a mean of 10 and SD of 2.

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What is the relationship between central tendency and variability?

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One problem with the sum of squares as an index of variability is that its size depends not only on the amount of variability among scores,but also on the number of scores (N).

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The standard deviation is the positive square root of the sum of squares.

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The variance is the

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Measures of _____ indicate the extent to which scores within a set differ from one another.

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The mean,median,and mode are applicable to:

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The median is the point in the distribution of scores that divides the distribution into two equal parts.

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Which of the following sets of data is bimodal?

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The best answer to the question,"What value indicates a large standard deviation?" is:

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