Which of the following levels of statistical significance


Multiple Choice Questions

Multiple Choice Questions

1. A nominal scale of measurement has ________. 

A. rank order

B. an absolute true zero point

C. classification by categories

D. equal differences between points on a scale of measurement

2. A scale in which objects are rank ordered according to how much of the attribute they possess. 

A. nominal

B. ordinal

C. interval

D. ratio 

3. A scale in which objects are rank ordered according to how much of the attribute they possess, with equal space between objects. 

A. nominal

B. ordinal

C. interval

D. ratio

4. A scale in which a given attribute is categorized, and numbers are assigned to the categories, but there is no order or level implied among the categories. 

A. nominal

B. ordinal

C. interval

D. ratio 

5. Rankings of the finishes of competitors in a foot race is an example of a(n) _______. 

A. ratio scale

B. ordinal scale

C. interval scale

D. none of the above 

6. Length in inches is an example of a(n) _________. 

A. ratio scale

B. nominal scale

C. ordinal scale

D. interval scale 

7. The most appropriate measure of central tendency for nominal data is the ______. 

A. mean

B. median

C. standard deviation

D. mode

8. The variability of a measure is best captured by the _____________. 

A. mean and standard deviation

B. range and standard deviation

C. range and median

D. mode and mean

9. The likelihood that a correlation exists in a population, based on knowledge of the actual value of r in a sample from that population is the ____________. 

A. practical significance

B. likelihood ratio

C. functional statistic

D. statistical significance 

10. Which of the following results represents statistically significance as it is commonly understood? 

A. r = .30

B. p < .05

C. r > .10

D. all of the above

11. A z score of 3.0 for a job applicant's score on an aptitude test indicates the applicant ______. 

A. achieved a score 3 points higher than the average score

B. received a score 3 standard deviations above the mean score

C. had a score 3 percent higher than the average score

D. had a score plus or minus 3 points relative to the mean score 

12. The correlation coefficient expresses _________. 

A. causality

B. variance

C. strength of the relationship between two variables

D. the range between two variables 

13. A complete lack of correlation between two variables is expressed by a correlation coefficient of _________. 

A. .50

B. 1.00

C. -1.00

D. zero

14. The larger the correlation coefficient, _________. 

A. the greater the practical significance

B. the smaller its practical significance

C. the larger its range

D. the smaller its statistical significance

15. The proper test to determine that a given sample correlation is statistically significant as an estimate of a correlation in a population is the __________. 

A. z score

B. standard deviation

C. squared correlation coefficient

D. the t test 

16. Which of the following levels of statistical significance would provide the most confidence that a sample correlation coefficient would not be interpreted as having a relationship in the population, when, in fact, there is no such relationship? 

A. .10

B. .50

C. .01

D. .05 

17. Reliability of measurement is defined as __________. 

A. frequency of measurement

B. magnitude of measurement

C. accuracy of measurement

D. consistency of measurement

18. Which of the following is a true statement? 

A. true score divided by error equals actual score

B. actual score equals true score plus error

C. actual score plus error equals true score

D. true score equals variance plus error 

19. Coefficient alpha assesses ____________. 

A. reliability within a single time period

B. reliability between time periods

C. reliability between samples

D. test-retest reliability

E. A and B are correct 

20. Comparing objective scores from T1 to T2 is a method for assessing _____ reliability. 

A. maximal asymptotic

B. internal consistency

C. test-retest

D. interrater

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