H0 : µ= 60 H1 :  µ > 60  X̄=62    σ=10    n=100 and α=.05 The decision of the test is: a. accept H0 b. not enough evidence c. reject H0 d. reject H1

For each of the following hypotheses (including test statistic and other information), find the p-value (or its bounds) and draw a basic conclusion with respect to (w.r.t.) Ho with 95% confidence. Assume normality in the populations or that the Central Limit Theorem otherwise applies.

Is there a difference among the 3 treatments in the table below?  Test using α = .05 Treatment A Treatment B Treatment C   2 3 2 ∑X2 = 280 2 3 4 G = 60 3 4 5 N = 15 3 5 6 k = 3 5 5 8   SS1 = 6 SS2 = 4 SS3 = 20     Does the type of treatment make a difference?

F3 P 3. For each p-value given, indicate the level(s) at which it would be significant. For each cell of the table put either S for "significant" or NS for "not significant". O p-value = 0.042 p-value = 0.006 p-value = 0.084 p-value = 0.118 F4 5. For each p-value, indicate the correct conclusion of the test (either R for "Reject H," or DNR for "Do not reject H") based on this p-value if we use a 5% significance level. (a) p-value = 0.008 (b) p-value = 0.083 7 $ F5 0+ % F6 囚 10% A F7 D F8 & 5% F9 ★ F10 1% F11 F12