Sample Questions for Test 3

Dr. Gass

HCOM 308

Fall 2008

Significance Tests: More Pr= actice Problems

1. A bivariate correlation with scale data requires:

A. Spearman rho

B. Pearson r

C. Cramer’s V

D. Chi square

2. A teacher gathers nominal data as to which of two test formats is preferred b= y a class. The results reveal th= at 34 students prefer a multiple-choice test, while 66 prefer a true-false test.= The appropriate method of data an= alysis in this case would be:

A. t-test

B. Pearson = r = ; &= nbsp; &nb= sp; = ; &= nbsp; &nb= sp; = ; &= nbsp; &nb= sp;

C. chi squa= re

D. factor a= nalysis

E. Cramer's= V

3. A researcher has a nominal independent variable with 3 conditions, and a dependent variable that yields scale data. What significance test is most appropriate?

A. Chi square

B. crosstabs

C. one-way ANOVA

D. two-way ANOVA

4. A researcher has two variables, both of which consist of = rank ordered data. Which significance test should be used?

A. t-test

B. Spearman rho

C. Chi square

D. Pearson r

E. Draper’s Q

5. If a researcher has a nominal independent variable and a = nominal dependent variable, which difference test should be used?

A. chi square

B. t-test

C. Cramer’s V

D. Chronbach’s alpha

6. A child psychologist compares three conditions that invol= ve children viewing violence. O= ne group is exposed to violent cartoon shows. Another group is exposed to violent videogames. Another group is exposed to viole= nt reality shows. The dependent variable is the amount of antisocial behavior the children from each condi= tion display on the playground during recess at school. What statistical test should be u= sed?

A. Pearson r

B. Kendall’s tau

C. Correlation coefficient

D. Spearman rho

E. a correlation test is inappropriate

7. On average, men tend to marry women = who are slightly younger than themselves.

Suppose that every man married a woman = who was exactly .5 of a year

younger than thems= elves. Which of the following is correct?

A. the correlation is −.5

B. the correlation is .5

C. the correlation is −1

D..<= /span> the correl= ation is 1

E. the correlation is 0

8. Web traffic is mea= sured daily for four on-line search engines, Yahoo, Google, MSN, and Ask, over a period of one month. The ave= rage number of searches per website are then compared to s= ee which, if any, of the search engines receives significantly more traffic. = What statistical test should be employed?

A. chi square

B. one-way ANOVA

C. two-way t-test

D. two-way ANOVA

9.. For people = who drink alcohol and smoke cigarettes, does the average amount of alco= hol people consume correlate with the average number of cigarettes they smoke on a we= ekly basis? If data on their drin= king and smoking behavior were collected from 300 respondents, what statistical test should be employed?<= /p>

A. Pearson r

B. Kendall’s tau

C. Correlation coefficient

D. Spearman rho

E. a correlation test is inappropriate

10. The fol= lowing display shows the number of teachers in an elementary school, based on the teachers’ sex and the grades taught

	female	male
K-3rd grade	15	3
4th-6^th grade	10	8

This displa= y is called a/an:

A. frequenc= y table

B. bar grap= h

C. histogra= m

D. scatterplot

11. A psychologist investig= ates the relationship between the average daily amount of television viewing an= d the reading skills of children. = The pattern of results in the table below suggests which of the following conclusions?

A. TV viewing increases rea= ding comprehension but does not increase reading speed.

B. TV viewing correlates mo= re strongly with reading speed than reading comprehension. =

C. TV viewing correlates mo= re strongly with reading comprehension than to reading speed.

D. TV viewing correlates positively with reading comprehension.

E. TV viewing has a diminis= hing relationship to reading skills as the child grows order.

Age	Correlation = Between Hours Of Television Viewing and Readi= ng Speed	Correlation = Between Hours of Television Viewing and Read= ing Comprehension
6	+0.13 =	-0.31 =
7	-0.03 =	-0.35 =
8	+0.07 =	-0.41 =
9	-0.05 =	-0.43 =
10	+0.18 =	-0.46 =

12. An experimenter performs a one-way ANOVA and obtains a statistically signific= ant result. Next, the researcher= should conduct:

A. a power = test

B. a post h= oc test

C. an effec= t size test

D. a two-wa= y ANOVA

13. Histogr= ams are appropriately used when the data collected are:

A. nominal = or ordinal

B. ordinal = or interval

C. interval= or ratio

D. ordinal = and ratio

14. Which method of graphically depicting data requires interval/ratio data?=

A. pie chart

B. histogram

C. bar chart

D. line graph

15. A researcher measures psychic ability by having participants gu= ess one of four colors on the back of a card.= The researcher records each guess as “right” or “wrong.” What statistical test should be used to determine if a person’s accuracy exceeds what would be expected by chance?

A. chi-square

B. Pearson r

C. one-way ANOVA

D. independent samples t-test

E. crosstabs

16. If a researcher has two independent variables and one dependent variable, the researcher may discover:

A. one main effect

B. one or two main effects

C. one main effect and one interaction e= ffect

D. one or two main effects and one or mo= re interaction effects

17. A two group comparison with nominal data requires:

A. t-test

B. chi-square

C. one-way ANOVA

D. Cramer’s V

18. A three group comparison with scale data requires:

A. t-test

B. chi-square

C. one-way ANOVA

D. Cramer’s V

19. If a re= searcher analyzes data using a two-way ANOVA, the researcher probably has:

A. one independent variable

B. two independent variables

C. three independent variables

D. four independent variables

20. A resea= rcher compares lifelong vegetarians (no meat), versus vegans (no meat or dairy) versus meat-eaters to see if one group lives significantly longer than the others. What statistical test should be used to see if diet has a significant effect on longevity?<= /o:p>

A. chi-squa= re

B. t-test

C. one way ANOVA

D. two-way = ANOVA

E. insuffic= ient information to tell

20. In the graph below, which axis rep= resents the independent variable? Answer “X” or “Y.”= ;

= &nb= sp;

&nb= sp;

= ; Y = &n= bsp; &nbs= p;

&nb= sp; = ; &= nbsp; <= /p>

= &n= bsp; X

21. The gra= ph below best illustrates the finding that:

A. low qual= ity arguments are just as effective as high quality arguments under conditions= of low listener involvement

B. when lis= teners have low involvement in an issue, the quantity of arguments = is more persuasive, but when listeners have high involvement in an iss= ue, the quality of the arguments is more persuasive.<= /p>

C. under co= nditions of high involvement, high quality arguments are significantly more persuas= ive than low quality arguments

D. There is= no significant difference in the persuasiveness of high versus low quality arguments, based on listener involvement

22. The gra= ph on the right most likely illustrates a:

A. positive correlation

B. negative correlation

C. non-sign= ificant difference between two groups

D. signific= ant interaction effect between two groups

Answers: 1B, 2C, 3C, 4B, 5A, 6E, 7D, 8B, 9A, 10A, 11C, 12B, 13C, 14= B, 15E, 16D, 17B, 18C, 19B, 20C, 20X, 21C, 22D