Benson Manufacturing is considering ordering electronic components from three different suppliers. The suppliers may differ in terms of quality in that the proportion or percentage of defective components may differ among the suppliers. To evaluate the proportion of defective components for the suppliers, has requested a sample shipment of 500 components from each supplier. The number of defective components and the number of good components four each shipment is as follows. Component Defective A 15 Supplier 485 B 20 C Good a. Formulate the hypotheses that can be used to test for equal proportions of defective components provided by the three suppliers. Ho: All population proportions are equal 480 40 460

MATLAB: An Introduction with Applications
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Benson Manufacturing is evaluating the quality of electronic components from three suppliers by examining the proportion of defective units. Each supplier sent a sample of 500 components. The results are as follows:

- Supplier A: 15 defective, 485 good
- Supplier B: 20 defective, 480 good
- Supplier C: 40 defective, 460 good

**Hypothesis Testing:**

a. **Formulation of Hypotheses:**
   - Null Hypothesis (H₀): All population proportions are equal.
   - Alternative Hypothesis (Hₐ): Not all population proportions are equal.

b. **Conducting the Hypothesis Test:**
   - Significance level (α): 0.05
   - Result: The p-value is less than or equal to 0.05.
   - Conclusion: The three suppliers do not provide equal proportions of defective components.

c. **Multiple Comparison Test:**
   - This test determines if one supplier can be eliminated due to poor quality. The differences between proportions, critical values, and their significance are assessed but require further calculations specified as rounding absolute differences to two decimal places and the critical value to four decimal places.

The related table for comparisons, differences, and significance calculations is present but not yet completed.
Transcribed Image Text:Benson Manufacturing is evaluating the quality of electronic components from three suppliers by examining the proportion of defective units. Each supplier sent a sample of 500 components. The results are as follows: - Supplier A: 15 defective, 485 good - Supplier B: 20 defective, 480 good - Supplier C: 40 defective, 460 good **Hypothesis Testing:** a. **Formulation of Hypotheses:** - Null Hypothesis (H₀): All population proportions are equal. - Alternative Hypothesis (Hₐ): Not all population proportions are equal. b. **Conducting the Hypothesis Test:** - Significance level (α): 0.05 - Result: The p-value is less than or equal to 0.05. - Conclusion: The three suppliers do not provide equal proportions of defective components. c. **Multiple Comparison Test:** - This test determines if one supplier can be eliminated due to poor quality. The differences between proportions, critical values, and their significance are assessed but require further calculations specified as rounding absolute differences to two decimal places and the critical value to four decimal places. The related table for comparisons, differences, and significance calculations is present but not yet completed.
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