The term "between-subjects" refers to

-observing the same participants in each group

-observing different participants one time in each group

-the type of post hoc test conducted

-the type of effect size estimate measured

Which of the following statements is the appropriate way to read the degrees of freedom for an ANOVA with 10 participants in each of four groups?

-3 or 36 degrees of freedom

-3 and 36 degrees of freedom

-4 and 10 degrees of freedom

-4 and 36 degrees of freedom

A professor compared differences in class grades between students in their freshman, sophomore, junior, and senior years of college. If different participants were in each group, then what type of statistical design is appropriate for this study?

-a two-independent sample t test

-a one-way between-subjects ANOVA

-a two-way between-subjects ANOVA

-both a two-independent sample t test and a one-way between-subjects ANOVA

Which of the following post hoc tests is associated with the greatest power to detect an effect?

-Schaff test

-Tukey's HSD test

-Bonferroni test

-Fisher's LSD test

A researcher randomly assigned 32 children to observe a short clip depicting either their favorite superhero, a parent, a teacher, or no person at all

(n = 8 per group).

If

SSBG = 30

and

SSE = 104,

then what was the decision at a 0.05 level of significance for a one-way between-subjects ANOVA?

-Reject the null hypothesis.

-Retain the null hypothesis.

-There is not enough information to answer this question.

In a study with three groups and 13 participants in each group, the sum of squares for the within-groups source of variation is 18. What is the value for the mean square within-groups in this study?

-2

-3

-9

-0.5

A researcher measures the time it takes eight participants to complete three successive tasks. What are the degrees of freedom between-persons for a one-way within-subjects ANOVA?

-2

-7

-14

-There is not enough information to answer this question.

A researcher computes the following one-way within-subjects ANOVA table. State the decision at a 0.05 level of significance.

Source of VariationSSdfMSF_obt

Between groups 10

Between persons 609

Within groups (error) 96

Total 12219

-Reject the null hypothesis.

-Retain the null hypothesis.

-There is not enough information to answer this question.

Using an A B ANOVA, a researcher concludes that Factor A is significant, independent of Factor B. In this study, this researcher found a significant

-main effect of Factor A

-main effect of Factor B

-A B interaction

-post hoc test

A researcher computes the following 23 between-subjects ANOVA, in which 11 participants were observed in each group. Which effect was significant at a 0.05 level of significance using the two-way between-subjects ANOVA?

Source of Variation SS df MS F

Factor A 10

Factor B

AB 40

Error 240

Total 340

-one of the main effects only

-Factor A and the AB interaction

-Factor B and the AB interaction

-There were no significant effects.

The correlation coefficient ranges from1.0 to +1.0, with values closer to1.0 indicating

-a more positive relationship between two factors

-a stronger relationship between two factors

-that two factors are less likely to be related

-that the correlation is due to outliers

The coefficient of determination is mathematically equivalent to

-the correlation coefficient

-omega-squared

-eta-squared

-both omega-squared and eta-squared

Which of the following is used to determine the significance of predictions made by a best fitting linear equation?

-correlational analysis

-analysis of variance

-analysis of regression

-method of least squares

IfSSXY = 16.32andSSX = 40.00for a set of data points, then what is the value of the slope for the best-fitting linear equation?

0.41

2.45

-positive

-There is not enough information; you would also need to know the value of SSY

If the coefficient of determination is 0.25 and the sum of squares residual is 180, then what is the value of

SSY?

-60

-180

-240

-800

The degrees of freedom for a chi-square goodness-of-fit test are

-k 1

-n 1

-(k1 1)(k2 1)

-(k 1)(n 1)

A researcher asks participants to taste each of three meals and to choose the one they like best. The same foods are in each meal, however the calorie total of each meal is different. One is low in calories, one is moderate in calories and one is high in calories. Based on the observed frequencies given below, what is an appropriate conclusion for this test at a .05 level of significance?

Type of Meal

Low Calorie Moderate Calorie High Calorie

f_o 6 7 17

f_e 10 10 10

-Participants liked the high calorie meal more than the low calorie meal.

-Participants liked the low calorie meal less than the moderate calorie meal.

-Participants liked the high calorie meal more than was expected.

-all of the above