Download presentation

Presentation is loading. Please wait.

Published byAlan Albury Modified over 2 years ago

1
Statistics PSY302 Quiz

2
1. What percent of the population scores above a Z score of –1? A.62% B.70% C.84% D.98% E.72%

3
1. What percent of the population scores above a Z score of –1? A.62% B.70% C.84% D.98% E.72%

4
2. Which of the following is a measure of variability? A.spread B.mean C.kurtosis D.Standard deviation E.skewness

5
2. Which of the following is a measure of variability? A.spread B.mean C.kurtosis D.Standard deviation E.skewness

6
3. Which of the following is an example of a parameter? A.mean B.margin of error C.P-value D.pi E.Table A

7
3. Which of the following is an example of a parameter? A.mean B.margin of error C.P-value D.pi E.Table A

8
4. The results of large samples are ______ the results of small samples. A.more variable than B.the same as C.less variable than D.all of the above E.none of the above

9
4. The results of large samples are ______ the results of small samples. A.more variable than B.the same as C.less variable than D.all of the above E.none of the above

10
5. In a distribution with a mean of 40 and a standard deviation of 10 what values would encompass approximately 95% of the scores? A. 35-45 B.20-60 C.30-50 D.40-95 E.all of the above

11
5. In a distribution with a mean of 40 and a standard deviation of 10 what values would encompass approximately 95% of the scores? A. 35-45 B.20-60 C.30-50 D.40-95 E.all of the above

12
6. A z-score tells: A.the likelihood of getting a value as high as the test statistic by chance. B.the standard deviation of the distribution C.the square root of the distribution D.on standard deviation less than the mean E.How many standard deviations from the mean a score lies

13
6. A z-score tells: A.the likelihood of getting a value as high as the test statistic by chance. B.the standard deviation of the distribution C.the square root of the distribution D.on standard deviation less than the mean E.How many standard deviations from the mean a score lies

14
7. The alpha value for your paper will be: A.100 B..05 C..50 D..10 E.Depends on the variance

15
7. The alpha value for your paper will be: A.100 B..05 C..50 D..10 E.Depends on the variance

16
8. If we reject Ho when in fact Ho is true this is called: 1. a Type I error 2. Statistical significance 3. Failing to reject the null hypothesis 4. Inferential statistics 5. Homogeneity of variance

17
8. If we reject Ho when in fact Ho is true this is called: 1. a Type I error 2. Statistical significance 3. Failing to reject the null hypothesis 4. Inferential statistics 5. Homogeneity of variance

18
9. A study comparing students who live in South Carolina with those who live in Maine on school attendance would be a _____ design. A.Single Sample B.Matched Pairs C.Independent Samples

19
9. A study comparing students who live in South Carolina with those who live in Maine on school attendance would be a _____ design. A.Single Sample B.Matched Pairs C.Independent Samples

20
10. A study comparing students scores on the final to their scores on the mid-term would be a ____ design. A.Single Sample B.Matched Pairs C.Independent Samples

21
10. A study comparing students scores on the final to their scores on the mid-term would be a ____ design. A.Single Sample B.Matched Pairs C.Independent Samples

Similar presentations

Presentation is loading. Please wait....

OK

Descriptive statistics Inferential statistics

Descriptive statistics Inferential statistics

© 2017 SlidePlayer.com Inc.

All rights reserved.

Ads by Google

View ppt on ipad mini Ppt on carbon and its compounds model Ppt on power sharing in democracy who has the power Ppt on content addressable memory xilinx Ppt on 600 mw generator Ppt on hydroelectric power generation Ppt on social contract theory and criminal justice Ppt on two step equations Ppt on wind power in india Ppt on networking related topics about information