Review Quiz

1. Each individual has a ______ score 1. 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.

1. Each individual has a ______ score 1. 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.

2. Each individual subject has a ____ ? mean Standard deviation Deviation score Variance All of the above

2. Each individual subject has a ____ ? mean Standard deviation Deviation score Variance All of the above

3. The raw score for Stardasha is: ? 90% 37.5% 53% 14.06% 30%

3. The raw score for Stardasha is: ? 90% 37.5% 53% 14.06% 30%

4. The deviation score for Stardasha is: ? 90% 37.5% 53% 14.06% 30%

4. The deviation score for Stardasha is: ? 90% 37.5% 53% 14.06% 30%

5. Which of the following tells us something about the group? The: Raw score Deviation score Standard deviation A & B All of the above

5. Which of the following tells us something about the group? The: Raw score Deviation score Standard deviation A & B All of the above

Heather’s histograms

6. Which of the following is true of the Median? It uses all the data. It has arithmetic properties It is more influenced by outliers It is less influenced by outliers A & D

6. Which of the following is true of the Median? It uses all the data. It has arithmetic properties It is more influenced by outliers It is less influenced by outliers A & D

7. The symbol on the right represents: The sample mean The sample variance The population mean The population variance. Heather’s raw score

7. The symbol on the right represents: The sample mean The sample variance The population mean The population variance. Heather’s raw score

8. 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

8. 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

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, Which of the following is an example of a sample statistic? The mean The median The standard deviation The range All of the above.

10, Which of the following is an example of a sample statistic? The mean The median The standard deviation The range All of the above.

Bonus: Which of the following is an example of a parameter? The mean The median The standard deviation The range All of the above.

Bonus: Which of the following is an example of a parameter? The mean The median The standard deviation The range All of the above.

1 The End