Chapter 3

1. In the simplest of terms, ____ reflects how scores differ from one another. (43) variability skewness centrality individuality All of the above.

1. In the simplest of terms, ____ reflects how scores differ from one another. (43) variability skewness centrality individuality All of the above.

2. The ____ is computed by subtracting the lowest score from the highest score. (45) Mean Sum of Squares Standard Deviation Range Mode

2. The ____ is computed by subtracting the lowest score from the highest score. (45) Mean Sum of Squares Standard Deviation Range Mode

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

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

4. The standard deviation, range and _____ are all measures of variability or spread. (51) Mean Parameter Proportion Sigma Variance

4. The standard deviation, range and _____ are all measures of variability or spread. (51) Mean Parameter Proportion Sigma Variance

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.

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.

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

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

7. Which of the following is an example of a statistic? Mean Median Standard deviation Proportion All of the above

7. Which of the following is an example of a statistic? Mean Median Standard deviation Proportion All of the above

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.

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.

9. Which of the following uses all the data? The standard deviation The individual deviation score The range The median All of the above

9. Which of the following uses all the data? The standard deviation The individual deviation score The range The median All of the above

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

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

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.

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.

The End