Question 1

A psychologist's is studying the affects of Ritalin on concentration in 40 children that have been matched on age and IQ.Twenty of the children receive Ritalin and are asked to take an exam that measures their concentration.The other 20 children did not receive Ritalin,but a placebo pill and took the same exam.After graphing this data,the researcher realizes that the data is not normally distributed.What should he do?

Accepted Answer

A) Increase your sample size 
B) use a nonparametric test to analyze data 
C) Give up and start over 
D) Both a & b 
E) None of these

Question 2

When one or both variables are measured on an ordinal level that seriously departs from interval level characteristics,Pearson correlation is the test of choice.

Accepted Answer

A) True 
 B)False

Question 3

When the independent variable is qualitative and the dependent variable is quantitative,the choice of the appropriate method of data analysis depends on

Accepted Answer

A) whether a parametric or nonparametric test is desired. 
B) whether the independent variable is between-subjects or within-subjects in nature. 
C) the number of levels that characterize the independent variable. 
D) all of these

Question 4

Dr.Jones found that there is a relationship between day time drowsiness and what time you wake up in the morning r(50)= .60,p<0.01.This relationship has a ____________________ correlation.

Accepted Answer

The answer of Dr.Jones found that there is a relationship...

Question 5

The observed distribution may bias one's decision about a parameter to focus on.

Accepted Answer

A) True 
 B)False

Question 6

If one wishes to compare groups ranks,then a _____ method should be used.

Accepted Answer

A) parametric 
B) nonparametric 
C) either a parametric or a nonparametric 
D) it depends on the number of levels of the independent variable

Question 7

Analysis of variance is rarely used in the behavioral sciences.

Accepted Answer

A) True 
 B)False

Question 8

If the dependent variable is measured on an ordinal level that seriously departs from interval level characteristics,a parametric test is always the optimal test.

Accepted Answer

A) True 
 B)False

Question 9

Multivariate statistics involve analyzing the relationship between

Accepted Answer

A) three or more variables. 
B) two independent variables. 
C) one independent variable and one dependent variable. 
D) none of these

Question 10

In situations where the dependent measure has only two or three values,most researchers will not use a _____ test.

Accepted Answer

A) chi square 
B) log-linear 
C) parametric 
D) nonparametric

Question 11

The appropriate means of analysis for research designs involving one between-subjects qualitative independent variable and one within-subjects qualitative independent variable would be a:

Accepted Answer

A) log-linear analysis 
B) two-way between-within analysis of variance 
C) Hotelling T2 test 
D) multiple regression

Question 12

If ranks are the focus,then parametric methods should be pursued.

Accepted Answer

A) True 
 B)False

Question 13

What statistical test would you use if your dependent variable is measured on an nominal scale and your independent variable is measured on a nominal scale and you are using a within subject design?

Accepted Answer

A) Wilcoxon Signed-Rank 
B) Correlated t-test 
C) One-way ANOVA Repeated measures 
D) Chi-Square 
E) None of these

Question 14

A dependent variable can still be normally distributed,even if it has only two or three values and,hence,the assumption of nonparametric tests will be violated.

Accepted Answer

A) True 
 B)False

Question 15

Given the information above,assume that the sample population was not normally distributed what statistical test would be appropriate?

Accepted Answer

A) Wilcoxon Signed-Rank test 
B) Mann-Whitney U test 
C) Spearman Rank order 
D) Kruskal-Wallis Test 
E) none of these

Question 16

The Hotelling T2 test is used when a multivariate analysis of variance is applied to

Accepted Answer

A) a single independent variable that has only two levels 
B) a single independent variable that has more than two levels 
C) two or more independent variables,each of which has only two levels 
D) two or more independent variables,each of which has more than two levels

Question 17

When both variables under study are qualitative and between-subjects in nature,the appropriate method of data analysis is the chi square test as discussed in Chapter 15.

Accepted Answer

A) True 
 B)False

Question 18

Dr.Hinson used a One-Way ANOVA,repeated measures and has set his alpha level at .05 nondirectional.He reported the following: F(2,19)=6.99.Based on this information what can you conclude?

Accepted Answer

A) There was a significant difference between groups (reject null hypothesis) 
B) There was no significant difference between groups (do not reject null hypothesis) 
C) A type II error has been committed 
D) There is a significant main effect of your independent variable 
E) None of these

Question 19

Given two between-subject variables that are measured on a level that at least approximates interval characteristics,the most common method of analysis is the chi square test.

Accepted Answer

A) True 
 B)False

Question 20

If a dependent variable turns out to be highly skewed,then it might be decided to focus on a _____ rather than a _____ to analyze the relationship between two variables.

Accepted Answer

A) mean;median 
B) median;mean 
C) mean;mode 
D) mode;Pearson correlation

Exam 18: Overview and Extension: Statistical Tests for More Complex Designs

When one or both variables are measured on an ordinal level that seriously departs from interval level characteristics,Pearson correlation is the test of choice.

When the independent variable is qualitative and the dependent variable is quantitative,the choice of the appropriate method of data analysis depends on

Dr.Jones found that there is a relationship between day time drowsiness and what time you wake up in the morning r(50)= .60,p<0.01.This relationship has a ____________________ correlation.

The observed distribution may bias one's decision about a parameter to focus on.

If one wishes to compare groups ranks,then a _____ method should be used.

Analysis of variance is rarely used in the behavioral sciences.

If the dependent variable is measured on an ordinal level that seriously departs from interval level characteristics,a parametric test is always the optimal test.

Multivariate statistics involve analyzing the relationship between

In situations where the dependent measure has only two or three values,most researchers will not use a _____ test.

The appropriate means of analysis for research designs involving one between-subjects qualitative independent variable and one within-subjects qualitative independent variable would be a:

If ranks are the focus,then parametric methods should be pursued.

What statistical test would you use if your dependent variable is measured on an nominal scale and your independent variable is measured on a nominal scale and you are using a within subject design?

A dependent variable can still be normally distributed,even if it has only two or three values and,hence,the assumption of nonparametric tests will be violated.

Given the information above,assume that the sample population was not normally distributed what statistical test would be appropriate?

The Hotelling T² test is used when a multivariate analysis of variance is applied to

When both variables under study are qualitative and between-subjects in nature,the appropriate method of data analysis is the chi square test as discussed in Chapter 15.

Dr.Hinson used a One-Way ANOVA,repeated measures and has set his alpha level at .05 nondirectional.He reported the following: F(2,19) =6.99.Based on this information what can you conclude?

Given two between-subject variables that are measured on a level that at least approximates interval characteristics,the most common method of analysis is the chi square test.

If a dependent variable turns out to be highly skewed,then it might be decided to focus on a _ rather than a _ to analyze the relationship between two variables.