Using the data above, conduct a hypothesis test to determine if the distribution of defects is the same for the three suppliers. Use the chi-square test calculations as presented in this section with the exception that a table with rrows and c columns results in a chi-square test statistic with (r- 1)(c- 1) degrees of freedom. using a .05 level of significance, what is the p-value and what is your conclusion?

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A manufacturer is considering purchasing parts from three different suppliers. The parts received from the suppliers are classified as having a minor defect, having a major defect, or being good. Test results from samples of parts received from each of the three suppliers are shown below. Note that any test with these data is no longer a test of proportions for the three supplier populations because the categorical response variable has three outcomes: minor defect, major defect, and good.

Supplier
Part Tested
A
B
C
Minor Defect | 15
13
21
Major Defect 5
11
5
Good
130 126 124
Transcribed Image Text:Supplier Part Tested A B C Minor Defect | 15 13 21 Major Defect 5 11 5 Good 130 126 124
Using the data above, conduct a
hypothesis test to determine if the
distribution of defects is the same for
the three suppliers. Use the chi-square
test calculations as presented in this
section with the exception that a table
with r rows and c columns results in a
chi-square test statistic with (r– 1)(c-
1) degrees of freedom. using a .05 level
of
gnificance, what is the p-value and
what is your conclusion?
Transcribed Image Text:Using the data above, conduct a hypothesis test to determine if the distribution of defects is the same for the three suppliers. Use the chi-square test calculations as presented in this section with the exception that a table with r rows and c columns results in a chi-square test statistic with (r– 1)(c- 1) degrees of freedom. using a .05 level of gnificance, what is the p-value and what is your conclusion?
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