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. SupplierPart TestedABCMinor Defect | 151321Major Defect 5115Good130 126 124 Using the data above, conduct ahypothesis test to determine if thedistribution of defects is the same forthe three suppliers. Use the chi-squaretest calculations as presented in thissection with the exception that a tablewith r rows and c columns results in achi-square test statistic with (r– 1)(c-1) degrees of freedom. using a .05 levelofgnificance, what is the p-value andwhat is your conclusion?

We conduct a chi-square test for independence of two categorical variables. Null and alternate…

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?