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(a) Formulate the hypotheses that can be used to test for equal proportions of defective components provided by the three suppliers. H0 : Not all population proportions are equal. Ha:pA=pB=pC H0:pA=pB=pC Ha : All population proportions are not equal. H0 : All population proportions are not equal. Ha:pA=pB=pC H0:pA=pB=pC Ha : Not all population proportions are equal. (b) Using a 0.05 level of significance, conduct the hypothesis test. Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Reject H0. We cannot conclude that the suppliers do not provide equal proportions of defective components. Do not reject H0. We cannot conclude that the suppliers do not provide equal proportions of defective components. Reject H0. We conclude that the suppliers do not provide equal proportions of defective components. Do not reject H0. We conclude that the suppliers do not provide equal proportions of defective components. (c) Conduct a multiple comparison test to determine if there is an overall best supplier or if one supplier can be eliminated becau decimal places.) Can any suppliers be eliminated because of poor quality? (Select all that apply.) ] Supplier A Supplier B Supplier C none ecent RIF. (a) Complete this two-way table by adding marginal and table totals. What percent of each employee age group (over 40 or not) were released? Under 40, % Over 40 , % Does there appear to be a relationship between age and being released? yes no (b) Perform the chi-square test. Give the test statistic, the degrees of freedom, the P-value, and your conclusion. 2= df= P-value = Conclusion Reject H0. There is evidence that there is a relationship between employee's age and being released. Do not reject H0. There is evidence that there is a relationship between employee's age and being released. Reject H0. There is no evidence that there is a relationship between employee's age and being released. Do not reject H0. There is no evidence that there is a relationship between employee's age and being released