$200
$300
$400
$500
Chi-Square
230 Jeopardy Unit 4
Repeated-
Measures
ANOVA
Factorial
Design
Factorial
ANOVA
$100
$100
$100
Correlation
$100
$100
$200
$300
$400
$500
$200
$300
$400
$500
$200
$300
$400
$500
$200
$300
$400
$500

Chi-Square--$100
.
Data must be measured on this type of scale in order to use the
Chi-Square statistic.
answer

Chi-Square--$200
The proportions specified by the null hypothesis are used to compute these.
answer

Chi-Square--$300
If an individual in the sample is counted in more than one category, then this assumption is violated.
answer

Chi-Square--$400
Use this test to determine whether consumers have a preference among four leading brands of toothpaste.
answer

Chi-Square--$500
The measure of effect size used for a 2 x 2 matrix and a matrix larger than 2 x 2, respectively.
answer

Repeated ANOVA--$100
The consistent performance
(individual differences) of a subject is represented by this SS.
answer

Repeated ANOVA--$200
Because the same participant serves in all treatments, individual differences are automatically removed as a source of variability in this SS.
answer

Repeated ANOVA--$300
In a repeated measures design, if
F(3, 24) = 4.67, then each participant serves in ___ treatment conditions.
answer

Repeated ANOVA--$400
When figuring SSs in a within-subjects design, ___ is often referred to as the residual term because it is the variability left after ___ is subtracted from it.
answer

Repeated ANOVA--$500
In a repeated-measures design, if k = 5 and df
Total df
Within Treatments
= 40, then
= ___.
answer

Factorial Design--$100
μ
A1
= μ
A2 assumes there will be no
_________.
answer

Factorial Design--$200
The major advantage of conducting a factorial experiment is the ability to assess this.
answer

Factorial Design--$300
The two values you need to look up the critical value of F
AxB
.
answer

Factorial Design--$400
In a factorial design, these effects may not accurately represent the mean differences between individual treatment conditions.
answer

Factorial Design--$500
The analysis that looks for mean differences within an individual column (or row) of the treatment matrix.
answer

Factorial ANOVA--$100
The number of hypothesis tests included in a two-factor ANOVA.
answer

Factorial ANOVA--$200
In a factorial experiment, this type of variability is partitioned into 3 components.
answer

Factorial ANOVA--$300
When looking at an AB treatment matrix, the numbers that enter into tests of main effects.
answer

Factorial ANOVA--$400
In a 4x2 factorial design, the number of treatment totals entering into the analysis for the interaction.
answer

Factorial ANOVA--$500
In order to graph the interaction, calculate _____ and plot them.
Lines that _______ indicate the possibility of an interaction.
answer

Correlation--$100
When two variables tend to move in the same direction
answer

Correlation--$200
A perfect correlation is indicated by a correlation coefficient of
answer

Correlation--$300
On a scatterplot, a negative correlation looks like this
answer

Correlation--$400
Compute this to determine whether a consistent relationship exists between two rank-order measures.
answer

Correlation--$500
Conceptually, the Pearson correlation coefficient is computed by dividing _________ by
_________.
answer

Chi-Square--$100
A: What is nominal (or ordinal)?
Back to board

Chi-Square--$200
A: What are expected frequencies?
Back to board

Chi-Square--$300
A: What is the assumption of independence?
Back to board

Chi-Square--$400
A: What is goodness of fit?
Back to board

Chi-Square--$500
A: What is phi and
Cramer’s V ?
Back to board

Repeated-M ANOVA--$100
A: What is SS
Between Subjects
?
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Repeated-M ANOVA--$200
A: What is SS
Between Treatments
?
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Repeated-M ANOVA--$300
A: What is 4?
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Repeated-M ANOVA--$400
A: What is SS error
SS
Between Subjects
?
and
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Repeated-M ANOVA--$500
Back to board

Factorial Design--$100
A: What is no main effect of
A?
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Factorial Design--$200
A: What is an interaction?
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Factorial Design--$300
A: What are df
AxB
(numerator)
& df
Within Treatment
(denominator)?
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Factorial Design--$400
A: What are main effects?
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Factorial Design--$500
A: What is simple main effects?
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Factorial ANOVA--$100
A: What are 3?
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Factorial ANOVA--$200
A: What is between treatments?
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Factorial ANOVA--$300
A: What are column (or row) totals (or means)?
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Factorial ANOVA--$400
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Factorial ANOVA--$500
A: What are treatment means and converge or cross?
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Correlation--$100
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Correlation--$200
Back to board

Correlation--$300
A: What is an envelope moving down from left to right?
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Correlation--$400
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Correlation--$500
A: What is
Degree to which x & Y vary together
Degree to which x and y vary separately
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