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Chapter 3
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1. In the simplest of terms, ____ reflects how scores differ from one another. (43)
variability skewness centrality individuality All of the above.
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1. In the simplest of terms, ____ reflects how scores differ from one another. (43)
variability skewness centrality individuality All of the above.
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2. The ____ is computed by subtracting the lowest score from the highest score. (45)
Mean Sum of Squares Standard Deviation Range Mode
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2. The ____ is computed by subtracting the lowest score from the highest score. (45)
Mean Sum of Squares Standard Deviation Range Mode
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3. Σ is sigma, which tells you to:
Find the square root Subtract Multiply and change the sign Find the sum of what follows. Make a chart
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3. Σ is sigma, which tells you to:
Find the square root Subtract Multiply and change the sign Find the sum of what follows Make a chart
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4. The standard deviation, range and _____ are all measures of variability or spread. (51)
Mean Parameter Proportion Sigma Variance
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4. The standard deviation, range and _____ are all measures of variability or spread. (51)
Mean Parameter Proportion Sigma Variance
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5. The range as a measure of variability is easy to compute and to understand. The problem with it is that it: Involves higher math Doesn’t tell us about the middle Involves negative numbers Is based on only two numbers All of the above.
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5. The range as a measure of variability is easy to compute and to understand. The problem with it is that it: Involves higher math Doesn’t tell us about the middle Involves negative numbers Is based on only two numbers All of the above.
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6. A ______ is a measurable characteristic of a sample
6. A ______ is a measurable characteristic of a sample. A number that describes the sample. Proportion Statistic Mean Parameter All of the above
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6. A ______ is a measurable characteristic of a sample
6. A ______ is a measurable characteristic of a sample. A number that describes the sample. Proportion Statistic Mean Parameter All of the above
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7. Which of the following is an example of a statistic?
Mean Median Standard deviation Proportion All of the above
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7. Which of the following is an example of a statistic?
Mean Median Standard deviation Proportion All of the above
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8. Each individual has a ______ score
8. Each individual has a ______ score. It measures how far that individual deviates from the mean in raw score units. Mean Percent deviation Quantitative All of the above.
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8. Each individual has a ______ score
8. Each individual has a ______ score. It measures how far that individual deviates from the mean in raw score units. Mean Percent deviation Quantitative All of the above.
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9. Which of the following uses all the data?
The standard deviation The individual deviation score The range The median All of the above
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9. Which of the following uses all the data?
The standard deviation The individual deviation score The range The median All of the above
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10. In inferential statistics we calculate the sample mean in order to:
Understand the variability of the sample Be sure we entered the data correctly Check for skewness To guess the population mean All of the above
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10. In inferential statistics we calculate the sample mean in order to:
Understand the variability of the sample Be sure we entered the data correctly Check for skewness To guess the population mean All of the above
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Bonus Question: Which of the following is true about the mean?
The mean uses all the data. The individual has a mean. We calculate the mean on categorical data The mean measures spread All of the above are true.
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Bonus Question: Which of the following is true about the mean?
The mean uses all the data. The individual has a mean. We calculate the mean on categorical data The mean measures spread All of the above are true.
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The End
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