Exam 4: Measures of Central Tendency

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It is possible for a variable to have

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The median represents the score that is

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An instructor is preparing a report showing mid-semester grades and notes that the mean,median,and mode are all exactly 76.00.What can she conclude?

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For variables measured at the interval-ratio level,the preferred measure of central tendency would be the

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The three commonly used measures of central tendency are

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If the scores of an even number of cases are arranged from high to low,the median is

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The symbol X10 identifies

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Income distributions almost always have a positive skew (since there are only a few very wealthy people).Therefore,the preferred measure of central tendency for this variable would be the

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What measure of central tendency would be most appropriate to summarize data about the color of movie stars' eyes?

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The median is the score of the middle case when the number of cases is

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The most appropriate measure of central tendency for the variable age (measured in years)would be the

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The median defines "central tendency" in terms of the

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When interval-ratio data are badly skewed,the appropriate measure of central tendency is the

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A distribution of income for a sample of 45 people that included the presidents of the 5 largest corporations in the United States and 40 assembly line workers would be

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In a positively skewed distribution the mean is

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What is the median of the following set of eleven grades? 55 60 62 67 70 72 74 76 77 85 90 95

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Which measure of central tendency is like "a fulcrum that exactly balances all of the scores"?

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What is the mean of the following scores? 13 18 23 35 41

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A math professor is wondering if students today are better or worse than in the past.He has given the same final to this year's class that he gave ten years ago.Compute mean,median,and mode for both classes and write a paragraph summarizing the differences. 35 45 65 75 87 80 69 71 53 90 99 95 70 81 73 93 67 61 57 74 72 7 71 81 83 76 7 75 76 59 74 51 89 55 79 67 77 69 91 68 90 65 79 69 79 97 86 98 91 95

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The sum of the differences between the scores of a distribution and the mean of the scores is always

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