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How many null hypotheses are associated with a two-way ANOVA?


A) one
B) two
C) three
D) four

E) A) and B)
F) A) and D)

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If you wanted to examine whether television viewing through social learning differs based on students' grade in school (i.e., first, second, third, etc.) , what is the dependent variable of interest?


A) grade level
B) television viewing
C) students
D) school

E) A) and C)
F) All of the above

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In a factorial ANOVA, the research hypothesis for the interaction might look like this:


A) H₁: µᵤppₑᵣ × nₑw = µᵤppₑᵣ × ᵣₑtᵤᵣnᵢng = µmᵢddlₑ × nₑw = µmᵢddlₑ × ᵣₑtᵤᵣnᵢng
B) H₀: µᵤppₑᵣ × nₑw ≠ µᵤppₑᵣ × ᵣₑtᵤᵣnᵢng ≠ µmᵢddlₑ × nₑw ≠ µmᵢddlₑ × ᵣₑtᵤᵣnᵢng
C) H₁: ᵤppₑᵣ × nₑw = ᵤppₑᵣ × ᵣₑtᵤᵣnᵢng = mᵢddlₑ × nₑw = mᵢddlₑ × ᵣₑtᵤᵣnᵢng
D) H₁: ᵤppₑᵣ × nₑw ≠ ᵤppₑᵣ × ᵣₑtᵤᵣnᵢng ≠ mᵢddlₑ × nₑw ≠ mᵢddlₑ × ᵣₑtᵤᵣnᵢng

E) B) and C)
F) A) and B)

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Which of the following would be an example of a design that examines the effects of gender and SES (high SES and low SES) on a test of student achievement?


A) one-way ANOVA
B) 2 × 2 ANOVA
C) multivariate ANOVA
D) 3 × 2 ANOVA

E) A) and B)
F) C) and D)

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Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy) and gender on college students' happiness.Which of the following can be confirmed by the table below?  Source  Surns of Squares  df  Mear square F Significance  Therapy 265.2251265.2252.444.127 Gender 207.0251207.2051.908176 Therapy × Gender 1,050.62511,050.6259.683.004 Error 3,906.10036108.503 Total 224,321.00039\begin{array} { | l | l | l | l | l | l | } \hline \text { Source } & \text { Surns of Squares } & \text { df } & \text { Mear square } & F & \text { Significance } \\\hline \text { Therapy } & \mathbf { 2 6 5 . 2 2 5 } & 1 & 265.225 & 2.444 & .127 \\\hline \text { Gender } & \mathbf { 2 0 7 . 0 2 5 } & 1 & 207.205 & 1.908 & 176 \\\hline \text { Therapy } \times \text { Gender } & 1,050.625 & 1 & 1,050.625 & 9.683 & .004 \\\hline \text { Error } & \mathbf { 3 , 9 0 6 . 1 0 0 } & \mathbf { 3 6 } & 108.503 & & \\\hline \text { Total } & \mathbf { 2 2 4 , 3 2 1 . 0 0 0 } & \mathbf { 3 9 } & & & \\\hline\end{array}


A) There is a main effect of therapy.
B) There is a main effect of gender.
C) There is an interaction effect.
D) There is no interaction effect.

E) B) and D)
F) C) and D)

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In the main effect F₍₁,₉₎ = 1.67, p = .229, what is .229?


A) The obtained value
B) The critical value
C) The correlation
D) The level of significance

E) A) and D)
F) A) and C)

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What type of ANOVA would examine effects of political party (i.e., Democrat, Republican, or independent) affiliation and gender on attitudes toward the death penalty?


A) 2 × 2 ANOVA
B) 3 × 2 ANOVA
C) 3 × 2 × 1 ANOVA
D) 3 × 3 ANOVA

E) B) and D)
F) All of the above

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A researcher wants to create an intervention to improve the well-being of graduate students in a counseling program, so she gives one group of students specific doses of rocky road ice cream, the second group of students specific doses of licorice, and the third group of students specific doses of chewy fruit-flavored candies for their treatments.As a second factor, she includes students in their first semester of their first year of graduate school as one cohort and students in the first semester of their second year of graduate school as the other cohort.To analyze the differences in well-being between the students in the three different "treatments" and two cohorts, she would use a(n) _______.


A) analysis of covariance
B) analysis of variance
C) factorial analysis of variance
D) repeated-measures analysis of variance

E) None of the above
F) C) and D)

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C

The factorial ANOVA can be used to test ______.


A) main effects and interaction effects of the independent variables
B) main effects and interaction effects of the dependent variable
C) main effects of the independent variables only
D) main effects of the dependent variable only

E) None of the above
F) A) and B)

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In what condition do you use the factorial ANOVA?


A) when you have one independent variable
B) when you have more than one independent variable
C) when you have two dependent variables
D) when you have two or more dependent variables

E) A) and B)
F) A) and D)

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If your analysis notes that participants in a weight loss study differ in amount of weight lost based on the type of weight loss program used, what type of effect is this called?


A) interaction effect
B) factor effect
C) level effect
D) main effect

E) B) and C)
F) A) and D)

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You would want to use a factorial ANOVA if you had _______ variables.


A) two independent
B) two dependent
C) one independent
D) three dependent

E) B) and D)
F) A) and D)

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If your analysis notes that participants in a weight loss study differ in amount of weight lost based on their gender, what type of effect is this called?


A) interaction effect
B) factor effect
C) level effect
D) main effect

E) A) and B)
F) B) and C)

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D

If you have two main effects, and one main effect is significant, this means that ______.


A) The other main effect must be significant.
B) The interaction effect must be significant.
C) The interaction effect must not be significant.
D) The other main effect and the interaction effect may or may not be significant.

E) A) and B)
F) All of the above

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ANOVA with replication is also known as _______.


A) repeated measures
B) between-group design
C) mixed design
D) one-way ANOVA

E) A) and B)
F) A) and C)

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A

The source table lists sources of variance in an analysis of variance.

A) True
B) False

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In the factorial ANOVA, participants are tested _______.


A) only once
B) exactly twice
C) once or more
D) twice or more

E) All of the above
F) A) and B)

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If you find that income significantly varies on the basis of gender, you have ______.


A) a main effect
B) an interaction effect
C) both a main effect and an interaction effect
D) neither a main effect nor an interaction effect

E) A) and B)
F) B) and D)

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If you wanted to examine whether the attitudes toward learning differs based on students' grade in school (i.e., first, second, third, etc.) , what is the independent variable of interest?


A) grade level
B) students' attitudes
C) parents' attitudes
D) level of parent involvement

E) None of the above
F) B) and C)

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Dr.Moo conducted a research project in which she compared the impact of two types of therapy (pizza therapy and chocolate therapy) and gender on college students' happiness.How many research hypotheses did she have, and how would you write them?

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