Statistics PSY302 Review Quiz One Fall 2018

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

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

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

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

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

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

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

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

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

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

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

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

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

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

8. The population of interest is 450 dogs 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

8. The population of interest is 450 dogs 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

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

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

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

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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