230 Jeopardy Unit 4
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230 Jeopardy Unit 4 Chi- Square Repeated- Measures ANOVA Factorial Design Factorial ANOVA Correlat ion $100 $100 $100 $100 $100 $ 200 $200 $200 $200 $200 $300 $300 $500 $500 $400 $300 $400 $300 $300 $400 $500 $500 $500 $400 $400
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230 Jeopardy Unit 4. Repeated-Measures ANOVA. Chi-Square. Factorial Design. Factorial ANOVA. Correlation. $100. $100. $100. $100. $100. $ 200. $200. $200. $200. $200. $300. $300. $300. $300. $300. $400. $400. $400. $400. $400. $500. $500. $500. $500. $500. - PowerPoint PPT Presentation
Transcript of 230 Jeopardy Unit 4
230 Jeopardy Unit 4Chi-Square
Repeated-Measures ANOVA
Factorial Design
Factorial ANOVA
Correlation
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Chi-Square--$100
Data must be measured on this type of scale in order to use the Chi-Square statistic.
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Chi-Square--$200
The proportions specified by the null hypothesis are used to compute these.
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Chi-Square--$300
If an individual in the sample is counted in more than one category, then this assumption is violated.
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Chi-Square--$400
Use this test to determine whether consumers have a preference among four leading brands of toothpaste.
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Chi-Square--$500
The measure of effect size used for a 2 x 2 matrix and a matrix larger than 2 x 2, respectively.
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Repeated-M ANOVA--$100
The consistent performance (individual differences) of a subject is represented by this SS.
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Repeated-M ANOVA--$200
Because the same participant serves in all treatments, individual differences are automatically removed as a source of variability in this SS.
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Repeated-M ANOVA--$300
In a repeated measures design, if F(3, 24) = 4.67, then each participant serves in ___ treatment conditions.
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Repeated-M 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.
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Repeated-M ANOVA--$500
In a repeated-measures design, if k = 5 and dfTotal = 40, then dfWithin Treatments = ___.
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Factorial Design--$100
μA1 = μA2 assumes there will be no _________.
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Factorial Design--$200
The major advantage of conducting a factorial experiment is the ability to assess this.
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Factorial Design--$300
The two values you need to look up the critical value of FAxB.
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Factorial Design--$400
In a factorial design, these effects may not accurately represent the mean differences between individual treatment conditions.
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Factorial Design--$500
The analysis that looks for mean differences within an individual column (or row) of the treatment matrix.
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Factorial ANOVA--$100
The number of hypothesis tests included in a two-factor ANOVA.
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Factorial ANOVA--$200
In a factorial experiment, this type of variability is partitioned into 3 components.
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Factorial ANOVA--$300
When looking at an AB treatment matrix, the numbers that enter into tests of main effects.
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Factorial ANOVA--$400
In a 4x2 factorial design, the number of treatment totals entering into the analysis for the interaction.
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Factorial ANOVA--$500
In order to graph the interaction, calculate _____ and plot them. Lines that _______ indicate the possibility of an interaction.
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Correlation--$100
When two variables tend to move in the same direction
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Correlation--$200
A perfect correlation is indicated by a correlation coefficient of
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Correlation--$300
On a scatterplot, a negative correlation looks like this
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Correlation--$400
Compute this to determine whether a consistent relationship exists between two rank-order measures.
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Correlation--$500
Conceptually, the Pearson correlation coefficient is computed by dividing _________ by _________.
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Chi-Square--$100
A: What is nominal?
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Chi-Square--$200
A: What are expected frequencies?
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Chi-Square--$300
A: What is the assumption of independence?
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Chi-Square--$400
A: What is goodness of fit?
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Chi-Square--$500
A: What is goodness of fit?
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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 SSerror and SSBetween Subjects?
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Repeated-M ANOVA--$500
A: What is 36?
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Factorial Design--$100
A: What is 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 dfAxB(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
A: What are 8?
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Factorial ANOVA--$500
A: What are treatment means and converge or cross?
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Correlation--$100
A: What is a positive correlation?
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Correlation--$200
A: What is 1 (positive & negative)?
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Correlation--$300
A: What is an envelope moving down from left to right?
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Correlation--$400
A: What is the Spearman correlation?
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Correlation--$500
A: What isDegree to which x & Y vary together
Degree to which x and y vary separately
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