The measure of brightness of paper produced by two different processes is recorded below for sam- ples of size 9 drawn randomly from each of two processes. 5 6 7 8 9 Observation Process A 1 2 3 4 6.1 9.2 8.7 8.9 7.6 7.1 9.5 8.3 9.0 Process B 9.1 8.2 8.6 6.9 7.5 7.9 8.3 7.8 8.9 Rank of Process A 1 17 12 13.5 5 3 18 9.5 15 Rank of Process B 16 8 11 2 4 7 9.5 6 13.5 For the original data set Y₁ = 8.2667, YB = 8.1333, SA = 1.11915 and SB = 0.69462. For the rank of the original data set, the rank sum of the process A is 94 and that for the process B is 77. Do the data provide sufficient evidence to suggest a significant difference in location of the bright- ness measurements of the two processes? (a) For a suitable nonparametric procedure formulate appropriate null and alternative hypothe- ses to test the difference in the location of the distributions of the brightness measurements of the two processes. (b) Use the Mann-Whitney U Test, to test the hypotheses in part (a) and comment on the outcome of the test on the basis of the P-value. (e) For a suitable parametric procedure formulate appropriate null and alternative hypotheses to test the difference in the location of the distributions of the brightness measurements of the two processes.

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The measure of brightness of paper produced by two different processes is recorded below for sam-
ples of size 9 drawn randomly from each of two processes.
Observation
Process A
Process B
Rank of Process A
Rank of Process B
1 2 3 4
6.1 9.2 8.7 8.9
9.1 8.2 8.6 6.9 7.5 7.9 8.3 7.8 8.9
17 12 13.5 5 3 18 9.5 15
7 9.5 6 13.5
1
16 8 11 2 4
5
6 7 8 9
7.6 7.1 9.5 8.3 9.0
For the original data set YA = 8.2667, YB = 8.1333, SA = 1.11915 and sp = 0.69462. For the
rank of the original data set, the rank sum of the process A is 94 and that for the process B is 77.
Do the data provide sufficient evidence to suggest a significant difference in location of the bright-
ness measurements of the two processes?
(a) For a suitable nonparametric procedure formulate appropriate null and alternative hypothe-
ses to test the difference in the location of the distributions of the brightness measurements
of the two processes.
(b) Use the Mann-Whitney U Test, to test the hypotheses in part (a) and comment on the
outcome of the test on the basis of the P-value.
(c) For a suitable parametric procedure formulate appropriate null and alternative hypotheses
to test the difference in the location of the distributions of the brightness measurements of
the two processes.
Transcribed Image Text:The measure of brightness of paper produced by two different processes is recorded below for sam- ples of size 9 drawn randomly from each of two processes. Observation Process A Process B Rank of Process A Rank of Process B 1 2 3 4 6.1 9.2 8.7 8.9 9.1 8.2 8.6 6.9 7.5 7.9 8.3 7.8 8.9 17 12 13.5 5 3 18 9.5 15 7 9.5 6 13.5 1 16 8 11 2 4 5 6 7 8 9 7.6 7.1 9.5 8.3 9.0 For the original data set YA = 8.2667, YB = 8.1333, SA = 1.11915 and sp = 0.69462. For the rank of the original data set, the rank sum of the process A is 94 and that for the process B is 77. Do the data provide sufficient evidence to suggest a significant difference in location of the bright- ness measurements of the two processes? (a) For a suitable nonparametric procedure formulate appropriate null and alternative hypothe- ses to test the difference in the location of the distributions of the brightness measurements of the two processes. (b) Use the Mann-Whitney U Test, to test the hypotheses in part (a) and comment on the outcome of the test on the basis of the P-value. (c) For a suitable parametric procedure formulate appropriate null and alternative hypotheses to test the difference in the location of the distributions of the brightness measurements of the two processes.
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