## Get Guided Liberty PSYC 355 Analysis of Variance

- A researcher uses analysis of variance to test for mean differences among three treatments with a sample of n = 12 in each treatment. The F-ratio for this analysis would have what df values?
- An ANOVA is used to evaluate the mean differences among three treatment conditions with a sample of n = 12 participants in each treatment. For this study, what are within treatments?
- A researcher reports an F-ratio with df = 1, 24 for an independent-measures experiment. If all the treatments had the same number of participants, then how many individuals were in each treatment?
- In an ANOVA, what is represented by the letter T?
- The following table shows the results of an analysis of variance comparing three treatments. What is the value of η 2, the percentage of variance accounted for, for these data?
- An ANOVA is used to evaluate the mean differences among three treatment conditions with a sample of n = 12 participants in each treatment. For this study, what are between treatments?
- In an analysis of variance, what is measured by the MS values?
- A researcher uses an independent-measures t-test to evaluate the mean difference between two treatments and obtains t(12) = 4.00. If the researcher had used an ANOVA to evaluate the data, what F-ratio would be obtained?
- On average, what value is expected for the F-ratio if the null hypothesis is true?
- If an analysis of variance produces a value of F = 1.00, then all the samples have the same mean.
- Posttests are only needed if H 0 is rejected in an ANOVA comparing more than two treatments.
- Posttests such as Scheffé are not necessary for an analysis of variance comparing only two treatment conditions.
- For an ANOVA, when the null hypothesis is true, the F-ratio is balanced so that the numerator and the denominator are both measuring the same sources of variance.
- For an independent-measures ANOVA comparing four treatment conditions, between = 3.
- A research report presents the results of an independent-measures ANOVA as follows: F (3, 28) = 5.36, p < .01. If all the samples were the same size, then each sample had n = 7 participants.
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