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Stats/Methods II JEOPARDY. Jeopardy Chi-Square Single-Factor Designs Factorial Designs Ordinal Data...
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Chi-Square--$100 Data must be measured on this type of scale in order to use the Chi-Square statistic. answer
Transcript of Stats/Methods II JEOPARDY. Jeopardy Chi-Square Single-Factor Designs Factorial Designs Ordinal Data...
Stats/Methods II
JEOPARDY
JeopardyChi-Square Single-Factor
DesignsFactorial Designs
Ordinal Data
Surprise
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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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Single-Factor Designs--$100
With a single independent variable manipulated between subjects and k = 2, the two suitable tests for determining whether a mean difference exists.
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Single-Factor Designs--$200
In a within-subjects design, the same participant serves in all treatments, therefore individual differences are automatically removed as a source of variability in this SS.
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Single-Factor Designs--$300
For a repeated measures design, we are quantifying the consistent performance of participants due to individual differences when we compute this.
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Single-Factor Designs--$400
A researcher uses an independent-measures t-test to evaluate the mean difference between two groups and obtains t = 3. If the researcher had used an ANOVA instead, F would equal _____.
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Single-Factor Designs--$500
Use this post-hoc test to compute the minimum difference between treatment means required to reach significance. However, n must be equal for all Ks.
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Factorial Designs--$100
μA1B1 = μA1B2 = μA2B1 = μA2B2 states there will be no _________.
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Factorial Designs--$200
In factorial ANOVA, the name of the residual SS or the left-over between treatments variability after the other two sources have already been accounted for.
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Factorial Designs--$300
The error term for all three F-ratios.
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Factorial Designs--$400
When the matrix of means is larger than 2 x 2, follow up a significant interaction with this.
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Factorial Designs--$500
For a 2 x 3 design, the minimum number of columns required to correctly enter the data into SPSS.
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Ordinal Data--$100
Analogous to a paired-samples t-test.
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Ordinal Data--$200
When k > 2 but a one-way ANOVA can’t be performed, convert the numerical scores to ranks and conduct this test.
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Ordinal Data--$300
The parametric counterpart to the Mann-Whitney test.
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Ordinal Data--$400
The statistical decision if the Wilcoxon T = 3 and Tcrit= 4.
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Ordinal Data--$500
If every score in group A is higher than every score in group B, the final Mann-Whitney U will equal ___.
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Surprise--$100
A variant of the repeated samples design in which great care is taken to minimize individual differences between two participants—one is then assigned to treatment 1 and the other is assigned to treatment 2.
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Surprise--$200
This is approximately equal to # of comparisons X alpha per comparison.
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Surprise--$300
If Fcrit = 4.0 for a particular data set, tcrit = ___ for that same data set.
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Surprise--$400
These comparisons directly follow from the research hypothesis and are usually few in number, so no special precautions are required.
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Surprise--$500
This part of the F-ratio is the same for single-factor between-subjects and within-subjects designs.
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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 are the phi-coefficient and Cramer’s V? (in that order)
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Single-Factor Designs--$100
A: What are t-test for independent groups and one-way between-subjects ANOVA?
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Single-Factor Designs--$200
A: What is SS Between Treatments?
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Single-Factor Designs--$300
A: What is SS Between Subjects?
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Single-Factor Designs--$400
A: What is 9?
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Single-Factor Designs--$500
A: What is Tukey’s HSD test?
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Factorial Designs--$100
A: What is interaction?
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Factorial Designs--$200
A: What is SSAxB?
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Factorial Designs--$300
A: What is MSwithin treatments?
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Factorial Designs--$400
A: What is an analysis of simple main effects?
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Factorial Designs--$500
A: What is 3?
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Ordinal Data--$100
A: What is the Wilcoxon signed-ranks test?
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Ordinal Data--$200
A: What is Kruskal-Wallis?
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Ordinal Data--$300
A: What is a t-test for independent samples?
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Ordinal Data--$400
A: What is reject Ho?
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Ordinal Data--$500
A: What is U = 0?
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Surprise--$100
A: What is a matched pairs or related samples design ?
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A: What is experimentwise error?
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Surprise--$300
A: What is 2?
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Surprise--$400
A: What are planned comparisons?
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Surprise--$500
A: What is MSBetween Treatments ?
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