6. How does sample size affect the determination of statistical significance? Th

Question

6. How does sample size affect the determination of statistical significance? The th a. smaller; the less likely the result will inconclusive. b. larger; the less likely the result will be statistically significant. c. smaller, the more likely the result will be statistically significant. d. smaller; the more likely the research hypothesis will be supported e. larger; the more likely the result will be inconclusive. f. larger; the more likely the null hypothesis will be rejected. 7. A researcher tells you that "the result of his last study was F (2,30)-2.12, p·.06, and thus he rejected the null hypothesis". You doubt this because a. .06 would be considered a significant result, given the sample size b. the between-subjects variability is likely similar to the within-subjects variability c. there is likely a difference between 2 of the 4 groups only d. there were 30 subjects, thus violating the assumption of normality e. the researcher did not specify the tail-type used f. error variance was likely low

Explanation / Answer

Solution

6) option (f) larger, the more likely the null hypothesis will be rejected

7) Option (e) the researcher did not specify the tail type used

Related Questions

Navigate

• Browse (All)
• Browse 6
• Subjects

---