Statistic Quizzes
Question 1
· If the overall F is statistically significant, at least one pair of means must also be statistically significant. Answer
True
False
Question 2
· F can never be negative. Answer
True
False
Question 3
· One drawback of ANOVA is that it allows type 1 error to escalate for every additional group tested. Answer
True
False
Question 4
· If a study has 3 groups of 25 subjects each, the degrees of freedom are 2 and 24. Answer
True
False
Question 5
· All F values are positive. Answer
True
False
Question 6
In ANOVA, where should you look for the treatment effect? Answer
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. In the within-group variance. |
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· In the between-group variance. |
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· In the total variance. |
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· Within a single individual's score. |
Question 7
· When and why would you conduct post hoc tests as a follow up to the overall F test? Answer
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· a. |
When the overall F test is NOT significant; to determine which of the pairs of groups may be significant. |
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· b. |
When the overall F test is NOT significant; to determine why the overall F test is not significant. |
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· |
· c. |
· When the overall F test is significant; to determine between which pairs of groups the significant difference lies. |
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· |
· d. |
When the overall F test IS significant; to determine if the significance is only the result of chance. |
· Question 8
· We use an F test rather than a t test for multi-group studies primarily to Answer
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· |
· a. |
· Avoid calculating standard deviations from the variances. |
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· b. |
· Be able to use a single formula regardless of differing sample sizes between groups. |
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· c. |
· Reduce calculation time. |
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· d. |
· Avoid escalating type 1 error rates. |
Question 9
· The appropriate statistic to use when testing the hypothesis for a study with three treatment groups is a Answer
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· a. |
· One-sample t test. |
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· b. |
· Two-sample t test. |
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· c. |
· ANOVA F test. |
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· d. |
· Either b or c is appropriate. |
Question 10
· When the null hypothesis is true, the calculated F should be close to Answer
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· a. |
· 0. |
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· b. |
· 1. |
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· c. |
· Infinity. |
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· d. |
· There is not enough information to tell. |