If the one-way RM ANOVA is looked at as a two-way ANOVA with subjects as one of the factors, which of the following two-way ANOVA components will equal zero? O $$SS_{inter}$$ O $$SS_{within-cells}$$ O $$SS_{between-cells}$$ O $$SS_{total}$$
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Step 1: Understand the question: The question asks which sum of squares (SS) component in a two-way ANOVA (where subjects are treated as a factor) would be zero if it's equivalent to a one-way Repeated Measures (RM) ANOVA. Show more…
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In a completely randomized (one-way) analysis of variance problem with c groups and a total of n observations in all groups, the variance between groups is equal to: a. (Total sum of squares) - [(Sum of squares within columns)/(n - c)]. b. [(Total sum of squares)/(n - 1)] - [(Sum of squares between columns)/(c - 1)]. c. (Sum of squares between columns)/(c - 1). d. (Total sum of squares) - (Sum of squares within columns).
Shannon K.
True/False There's no such a thing as two-tailed F-test In an analysis of variance, SStotal will always equal the sum of SSbetwcen and SSwithin. It is impossible to obtain a negative value for an F-ratio. Differences between group means can be due only to a treatment effect When the obtained value for F is found to be significant; it means that all treatment means are different from all other means_ The F comparison distribution in step 2 of the Hypothesis testing procedure indicates what values you can expect for your sample's F if the Null Hypothesis is false. 2. The variability between scores within each individual group in a one-way ANOVA is due to a. a treatment effect b. measurement error and treatment effect c. measurement error and individual differences d. measurement error, individual differences and treatment effect 3. When the null hypothesis is true for an ANOVA, the expected value for the F- ratio is a. zero b. 1.00 c. Ngroups d. SSiotal 4. A researcher reports an F-ratio with df = (3, 36) for an ANOVA. How many individual subjects participated in the experiment? a. 36 b. 39 c. 40 d. cannot be determined from the information given
Adi S.
What is the difference between S2Within and S2Between? a. S2Within is NOT affected by whether or not the null hypothesis is true. b. S2Between is NOT affected by whether or not the null hypothesis is true. c. Only S2Between reflects errors associated with chance factors. d. Only S2Within reflects errors associated with chance factors. e. S2Between is essentially an average of estimates figured based on the scores within each of the samples.
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