(Ch12-EOC-Q1&2) please answer all questions in image. Answer options for question 2 are listed below. Q2) the first two sentence have the following answer selections: "actual differences between sample means"/individual scores after treatment/ actual sample means/ differences expected between sample means if there is no treatment effect (select correct answer that best completed the sentence). For Q2) the 3rd & 4th sentence answer options are the following : "numerator" or "denominator". The answer selections for the last sentence is : "a significant population mean value/ a significant difference between treatments/ no significant difference between treatments" (select one that best completes the sentence).

Styles 1. Gravetter/ Wallnau/ Forzano, Essentials - Chapter 12 - End-of-chapter question 1 What is the principal reason why you should use ANOVA instead of several t tests to evaluate mean differences when an experiment consists of three or more treatment conditions? O Multiple t tests accumulate the risk of a data entry error. O ANOVA is better suited to expressing the treatment condition as a discrete variable. O Multiple t tests accumulate the risk of a Type I emor. ANOVA, as a more advanced technique, makes a research report appear more professional. O Multiple t tests are prohibitively expensive and time consuming, 2. Gravetter/Wallnau/ Forzano, Chapter 12 - End-of-chapter question 3 statistic. Both the F-ratio and the t sta (numerator) with the (denominator). If the 2 is sufficiently bigger than the HI you conclude that there is Calculate SStotal, SSbetween, and SSwithin for the following set of data: Treatment 1 Treatment 2 Treatment 3 12 12 12 N - 36 T = 60 72 T-24 G = 156 55 = 30 SS = 46 55 = 40 EX2 = 896 SStotal SSbetween = SSwithin A researcher uses an ANOVA to compare six treatment conditions with a sample of n = 12 in each treatment. For this analysis, find dfull, dilemma and of within. dfbetween - df within =