Deck 26: One-Way Anova
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Deck 26: One-Way Anova
1
An F test can be used to test the difference(s) among two or more means.
True
2
the resulting probability will be different whether one runs a t test or F test.
False
3
If the difference among the means was statistically significant at the .01 level (F = 61.34, df = 2, 40) which of the following is NOT true?
A) There is a significant difference at p < .01
B) At least one of the group comparisons is significant
C) The null hypothesis is rejected
D) The differences are due to random sampling error
A) There is a significant difference at p < .01
B) At least one of the group comparisons is significant
C) The null hypothesis is rejected
D) The differences are due to random sampling error
D
4
If a research yielded the follow group means with a significant F test result, how many pairs of comparisons are possible to do a post- hoc test?
Group 1: M=1.5 Group 2: M=6.5 Group 3: M=7.8 Group 4: M=10.9
Group 1: M=1.5 Group 2: M=6.5 Group 3: M=7.8 Group 4: M=10.9
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5
What is true about all post-hoc tests such as Tukey's HSD Test and Scheffé's Test?
A) Each group mean is compared to each other group mean
B) It shows the overall effect of the groups on a variable
C) It is done regardless of whether the one-way ANOVA's F test result is significant or not
D) It is done prior to the ANOVA's F test
A) Each group mean is compared to each other group mean
B) It shows the overall effect of the groups on a variable
C) It is done regardless of whether the one-way ANOVA's F test result is significant or not
D) It is done prior to the ANOVA's F test
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6
If you were conducting a means comparison and you had two grouping variables: English acquisition levels and ethnicity on Language Arts test scores, what type of analysis would you choose to conduct?
A) One-way ANOVA
B) Two-way ANOVA
A) One-way ANOVA
B) Two-way ANOVA
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7
If you were conducting a means comparison and you had a grouping variable of ethnicity on income what type of analysis would you choose to conduct?
A) One-way ANOVA
B) Two-way ANOVA
A) One-way ANOVA
B) Two-way ANOVA
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