The interval from 2.33 to 1.75 captures an area of .95 under the z curve. This implies that another largesample 95% confidence interval for m has lower limit and upper limit . Would you recommend using this 95% interval over the 95% interval discussed in the text? Explain. (Hint: Look at the width of each interval.)

Assignment#5 Sana Nasim Problem#1 Response=c(18.2,27.2,15.9,41.0,18.9,24.0,14.5,43.9,12.9,22.4,15.1,36.3,14.4,22.5,14.2,39.9) FactorA=rep(c("Low","High","Low","High"),4) ; FactorA=as.factor(FactorA) FactorB=rep(c("Low","Low","High","High"),4) ; FactorB=as.factor(FactorB) Block=c(rep(1,4),rep(2,4),rep(3,4),rep(4,4)) Block=as.factor(Block) lm.1=aov(Response~Block+FactorA+FactorB+FactorA*FactorB) summary(lm.1) Df Sum Sq Mean Sq F value Pr(>F) Block 3 44.4 14.8 4.864 0.028 * FactorA 1 1107.2 1107.2 364.211 1.37e-08 *** FactorB 1 227.3 227.3 74.753 1.18e-05 *** FactorA:FactorB 1 303.6 303.6 99.876 3.60e-06 *** Residuals 9 27.4 3.0 --- Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0