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STAT 430 – Assignment 2 - People.stat.sfu.ca

STAT 430 – Assignment 2 - People.stat.sfu.ca

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<strong>STAT</strong> <strong>430</strong> – <strong>Assignment</strong> 2<br />

Due October 04, 2011 (Tuesday) at the beginning of lecture.<br />

1. Three different washing solutions are being compared to study their effectiveness in retarding bacteria<br />

growth in 5-gallon milk containers. The analysis is done in a laboratory, and only three trials <strong>ca</strong>n be<br />

run on any day. Observations are taken for four days ( a potential source of variability), and the data<br />

are shown here.<br />

Days<br />

Solution 1 2 3 4<br />

1 13 22 18 39<br />

2 16 24 17 44<br />

3 5 4 1 22<br />

(a). Write out an appropriate <strong>stat</strong>isti<strong>ca</strong>l model for this experiment.<br />

(b). State clearly your null and alternative hypothesis. Perform ANOVA. What is your conclusion?<br />

(c). Use the appropriate residual plots to check the assumptions of the model.<br />

(d). Estimate the overall mean, the treatment effects and block effects.<br />

(e). Testiftheaverageresponseofthe1stand3rdsolutionarethesamebyusingasuitablecomparison.<br />

(f). Estimate the mean response of the 1st solution. Report the mean, its standard error, and a 95%<br />

confidence interval (unadjusted for multiple comparisons).<br />

(g). Estimate the difference in mean response between the 1st and 3rd solution and find the a 95%<br />

confidence interval (unadjusted for multiple comparisons).<br />

2. A consumer products company relies on direct mail marketing pieces as a major component of its<br />

advertising <strong>ca</strong>mpaigns. The company has three different designs for a new brochure and wants to<br />

evaluate their effectiveness, as there are substantial differences in costs between the three designs. The<br />

company decides to test the three designs by mailing 5000 samples of each of potential customers in<br />

four different regions of the country. Since there are known regional differences in the customer base,<br />

regions are considered as blocks. The number of responses to each mailing is as follows.<br />

Region<br />

Design NE NW SE SW<br />

1 250 350 219 375<br />

2 400 525 390 580<br />

3 275 340 200 310<br />

1


(a). Analyze the data from this experiment. Hint: Carry out an ANOVA and a suitable hypothesis<br />

test.<br />

(b). Use the Fisher LSD method to make comparisonamong the three designs to determine specifi<strong>ca</strong>lly<br />

which designs differ in the mean response rate.<br />

(c). Analyze the residuals from this experiment.<br />

3. Find all standard Latin squares of side 5 with the following form<br />

A B C D E<br />

B C D<br />

C<br />

D<br />

E<br />

4. Using the notation in class, show that Var(ˆτ j −ˆτ i ) = (2k/(λa))σ 2 for a BIBD. If the experiment is run<br />

as a complete randomized block design, we <strong>ca</strong>n show that Var(ˆτ j − ˆτ i ) = Var(ȳ j. −ȳ i. ) = 2σ 2 /b. Now,<br />

prove that 2k/(λa) > 2/b.<br />

2

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