Statistics PSY302 Review Quiz One Fall 2019

1. Statistics PSY302 Review Quiz OneFall 2019

2. 1. A _____ places an individual into one of several groups or categories. (p. 4) • a. normal curve • b. spread • c. categorical variable • d. center of a distribution • e. proportion

3. 1. A _____ places an individual into one of several groups or categories. (p. 4) • a. normal curve • b. spread • c. categorical variable • d. center of a distribution • e. proportion

4. 2. A ____ is a characteristic of the population. (13) • a. normal curve • b. parameter • c. categorical variable d. center of a distribution • e. proportion

5. 2. A ____ is a characteristic of the population. (13) • a. normal curve • b. parameter • c. categorical variable d. center of a distribution • e. proportion

6. 3. A _____ is a portion of the population or universe. (p. 12) • a. histogram • b. sample • c. deviation score • d. parameter • e. variable

7. 3. A _____ is a portion of the population or universe. (p. 12) • a. histogram • b. sample • c. deviation score • d. parameter • e. variable

8. 4. Inferential statistics is the process of (p. 14) • a. analyzing data to determine truth • b. describing or summarizing data distributions • c. calculating the center or middle of the data • d. determining the probability of an outcome • e. making inferences about population parameters

9. 4. Inferential statistics is the process of (p. 14) • a. analyzing data to determine truth • b. describing or summarizing data distributions • c. calculating the center or middle of the data • d. determining the probability of an outcome • e. making inferences about population parameters

10. 5. In the world of inferential statistics, sample ____ are used to estimate population parameters (p. 17) • a. standard deviations • b. operations • c. histograms • d. degrees of freedom • e. statistics

11. 5. In the world of inferential statistics, sample ____ are used to estimate population parameters (p. 17) • a. standard deviations • b. operations • c. histograms • d. degrees of freedom • e. statistics

12. 6. Grade Point Average (GPA) is an example of a(n): • a. derivative • b. inference • c. residual • d. category • e. variable

13. 6. Grade Point Average (GPA) is an example of a(n): • a. derivative • b. inference • c. residual • d. category • e. variable

14. 7. Inferential statistics involves using a sample to estimate some property of a population. The problem is: • a. you cannot be placed into more than one category • b. the categories all have the same level of importance • c. the categories have a true zero • d. the categories are only open to special people • e. Sampling error

15. 7. Inferential statistics involves using a sample to estimate some property of a population. The problem is: • a. you cannot be placed into more than one category • b. the categories all have the same level of importance • c. the categories have a true zero • d. the categories are only open to special people • e. Sampling error

16. 8. The population of interest is 450 dogs. Which of the following could be a sample of that population? (p. 12) • a. 25 • b. 451 • c. 1,000 • d. 800 • e. all of the above

17. 8. The population of interest is 450 dogs. Which of the following could be a sample of that population? (p. 12) • a. 25 • b. 451 • c. 1,000 • d. 800 • e. all of the above

18. 9. A (n)______ describes some characteristic of an individual such as height, weight or income. (p. 5) • a. outlier • b. mean • c. variable • d. trend • e. stem-plot measures

19. 9. A (n)______ describes some characteristic of an individual such as height, weight or income. (p. 5) • a. outlier • b. mean • c. variable • d. trend • e. stem-plot measures

20. 10. Which of the following is an example of measurement data? • Class rank • Calories consumed at lunch • Hair color • Your student ID number • All of the above

21. 10. Which of the following is an example of measurement data? • Class rank • Calories consumed at lunch • Hair color • Your student ID number • All of the above

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