Answer Happy

An experimenter who is interested in the effects of harmaceutical commercial and randomly as participants to the groups a depression medication commercial conditions, an arwety medication commercial condition, and a faucet commercial condition. After the commercials participants report the level of sadness, Higher scores indicate more sans conduct an analysis of variance and reported below Depression . 6 5 . 7 G Ariety Faucet 3 5 4 G 5 3 6 5 5 2 2 5 3.8917 QUESTION 2 Based on your results from the previous question as there a statisticany wgnificant difference between the means? Use alpha.s Yes, the results of the ANOVA indicate that there la statistically significant difference between the man Yes, we can't reject the null bypothesis, 10 there is a statistically significant difference between the means The results of the ANOVA are not conclusive because there is not enough information to make a decision No the results of the ANOVA indicate that there is not a scally significant difference between the means O
What is the eta-squared value from the ANOVA calculated above?
If the results of the ANOVA from question 1 are statistically significant conduct Tukey's HSD post hoc test to determine which conditions are significantly different from each other. Which statement below best describes the differences detected from Tukey's HSD? The depression commercial condition had significantly lower levels of depression than the faucet commercial group, but all other pairwise differences were not statistically significant. The depression commercial group reported significant higher levels of sadness than the anxiety commercial group and the faucet group, and the faucet group reported significant lower levels of sadness than the anxiety group. The depression commercial group reported higher level of sadness than the anxiety and faucet commercial group, but the anxiety and faucet commercial groups were not significantly different. A post-hoc test was not necessary because the F-ratio was not statistically significant.