Statistical Analysis Review - An Overview
Explore a diverse range of statistical topics including Chi-Square, Repeated Measures ANOVA, Factorial Design, and Correlation. Learn about scale measurement requirements for Chi-Square, assumptions violation, effect size measures, within-subjects design considerations, and more.
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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
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 dfTotal = 40, then dfWithin Treatments = ___. answer
Factorial Design--$100 A1= 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 FAxB. 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? Back to board
Repeated-M ANOVA--$200 A: What is SS Between Treatments? Back to board
Repeated-M ANOVA--$300 A: What is 4? Back to board
Repeated-M ANOVA--$400 A: What is SSerror and SSBetween Subjects? Back to board
Repeated-M ANOVA--$500 A: What is 36? Back to board
Factorial Design--$100 A: What is no main effect of A? Back to board
Factorial Design--$200 A: What is an interaction? Back to board
Factorial Design--$300 A: What are dfAxB(numerator) & df Within Treatment (denominator)? Back to board
Factorial Design--$400 A: What are main effects? Back to board
Factorial Design--$500 A: What is simple main effects? Back to board
Factorial ANOVA--$100 A: What are 3? Back to board
Factorial ANOVA--$200 A: What is between treatments? Back to board
Factorial ANOVA--$300 A: What are column (or row) totals (or means)? Back to board
Factorial ANOVA--$400 A: What are 8? Back to board
Factorial ANOVA--$500 A: What are treatment means and converge or cross? Back to board
Correlation--$100 A: What is a positive correlation? Back to board
Correlation--$200 A: What is 1 (positive & negative)? Back to board
Correlation--$300 A: What is an envelope moving down from left to right? Back to board
Correlation--$400 A: What is the Spearman correlation? Back to board
