1. a) Conduct a test of hypotheses. i) H0: mu(SE)-mu(CS)=0 Ha: mu(SE)-mu(CS)<0 ii) a) n(SE)=35; ySEbar=4.6; s(SE)=1.08 n(CS)=40; yCSbar=5.0; s(CS)=1.1 b) ySEbar-yCSbar=-0.4 hence consistent with Ha iii) a) mu(SE)-mu(CS)=0 b) Both samples are large so Th'm 1 applies. z=-0.4/sqrt((1.1)^2/40+(1.08)^2/35)=-1.59 p-value is 5.59% iv) Insufficient evidence to reject H0 and so the CTI student cannot justify his belief. b) Since H0 was not rejected, a point estimate of the difference is not appropriate. 2. a) Conduct a test of hypotheses. Let mu(n) denote the mean for the new interface and mu(o) the mean for the old interface. Similarly n, o will be used to distinguish the relevant statistics. i) H0: mu(n)-mu(o)=0 Ha: mu(n)-mu(o)<0 ii) a) n(n)=14; ynbar=250; s(n)=71 n(o)=14; yobar=315; s(o)=86 b) ynbar-yobar=-65 hence consistent with Ha iii) a) mu(n)-mu(o)=0 b) Both samples are small so if we assume y(n) and y(o) normally distributed and also assume that sigma(n)=sigma(o) then Th'm 2a applies. s(p)^2=((13)(71)^2+(13)(86)^2)/(14+14-2)=6218.5 t=-65/sqrt(6218.5(1/14 + 1/14))=-2.18 So since df=26 then the p-value is between 1% and 2.5% iv) Reject H0 and conclude that the proposed interface is indeed faster. b) Since H0 is rejected then a point estimate is appropriate. That is: mu(n)-mu(o)=ynbar-yobar=-65 A 90% CI is: -65 +/- (t(26;5))(29.81)=-65 +/- (1.706)(29.81)=[-115.85,-14.15] c) We must assume that the sample sizes are the same and the standard deviations the same. In this case we will use s(p) as our standard deviation. Since s(p)^2=6218.5 then s(p)=78.86 n=(2.6*78.86*2/10)^2=1681.6 Hence each sample would need 1682 users to achieve a level of accuracy of 10 seconds with 99% confidence.