A market research firm wants to pilot test children's toys in stores. They collect data on attitude ratings (higher scores reflect more liking) for three different toys and find the following results: Legos (M = 5.5; N = 10), a football (M = 4.5; N= 10), and a NERF gun (M = 6.0; N = 10). They also calculated the between-group and within-group sum of squares (SSB = 262.2; SSw =1220.4). Use a one-way ANOVA (where a = .05) to determine if there are significant differences in children ratings of toys. 1. Identify the alternative hypothesis (F tests are always nondirectional) 2. List your degrees of freedom (within) 3. List your degrees of freedom (between) 4. List your mean squares between groups 5. List your mean squares within groups 6. List your F test statistic 7. List your critical F value 8. Are there statistically significant differences in ratings among different toys? (Yes/No) 9. Calculate partial eta-squared (n2) for the effect of toy type on liking ratings (list as decimal, 0.xx) 10. Calculate Tukey's HSD 11. Use Tukey's HSD to determine if the difference in toy rating between a NERF gun and a football is statistically significant (Yes/No)