Question

CH13 Q7

Given a recent outbreak of illness caused by E. coli bacteria, the mayor in a large city is concerned that some of his restaurant inspectors are not consistent with their evaluations of a restaurants cleanliness In order to investigate this possibility, the mayor has five restaurant inspectors grade (scale of O to 100) the cleanliness of three restaurants. The results are shown in the accompanying table. (You may find it useful to reference the g table.) Restaurant Inspector 73 68 72 72 72 53 58 62 59 56 86 80 85 he a-1. Construct an ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round SS, MS, p-value to 4 decimal places and F to 3 decimal places.) Answer is not complete ANOVA Source of Variation Rows Columns Error Total df MS p-value 0.0000

b. If the average grades differ by restaurant, use Tukeys HSD method at the 5% significance level to determine which averages differ. (If the exact value for n - cis not found in the table, use the average of corresponding upper & lower studentized range values. Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Population Mean Differences Does The Average Differ? Confidence Interval

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Answer #1

a)

Tests of Between-Subjects Effects
Dependent Variable:Y
Source SS df Mean Square F Sig.
Roe 14.9333 4 3.7333 .346 0.8397
Column 1769.7333 2 884.8667 82.059 0.0000
Error 86.2667 8 10.7833
Total 1870.9333 14

Comment: The estimated p-values for row and column treatment are 0.8397 and 0.000 respectively. Hence, the only column has a significant effect on the model at 0.05 level of significance.

b) Tukey test for the significant treatment effect 'Column".

Multiple Comparisons

Tukey HSD
(I) Restaurant (J) Restaurant Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Does the average differ ?
Lower Bound Upper Bound
1 2 13.8000* 2.07686 .000 7.8655 19.7345 Yes
1 3 -12.8000* 2.07686 .001 -18.7345 -6.8655 Tes
2 3 -26.6000* 2.07686 .000 -32.5345 -20.6655 Yes
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