State the project scope and objective

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Reference no: EM132285582

Six Sigma Black Belt Case Study -

Submit the answer in detail. Answer the following:

Q1. State the project scope and objective.

Q2. Identify the type of errors investigated in the study.

Q3. Suggest, in your opinion, how did they collect the data (it is not stated in the document).

Refer to page 12 to answer (4-7)

Q4. Why did they perform the ANOVA Analysis?

Q5. Which factor is significant?

Q6. In the ANOVA table, explain why the interaction effect was not estimated.

Q7. Draw the factor interactions to check the significance of the interaction effect. Part of the graph is shown below for (riverside location) to help you get started.

1202_figure.png

Q8. On page 16, they constructed the individual chart for # of PROC and P chart for fraction of errors for error 1. Construct a new chart for the number of errors (C-chart) across all errors (1-2D) for Mountain View location. Data should be first combined as shown partially for the first row in the following table

n

number of errors(nonconformities)

1865

595+70+39+27+34=765

Refer to page 23-25 to answer the following:

Q9. Why did they perform the ANOVA on page 23?

Q10. How did they conclude the significance on the factor? Comment based on F and Fcrit

Q11. Why did they perform three t-tests? What is the conclusion of each test and explain how it helps to understand the major source of errors due to (missing entries) error type (state the null and the alternative hypothesis to explain your answer).

Q12. On page 27, they perform regression analysis. Explain why they performed the analysis. Which one of the three regression models do you think is strong (explain your answer)?

Q13. The model assumption verification was not shown in the report. Perform the regression analysis in MiniTab and verify model assumption validity.

Q14. In the improvement phase, Different training programs were used. Which training method was effective. State the null hypothesis and alternative for the effective training method.

Q15. ANOVA can be used instead of t-test to check the training method effectiveness. Perform the analysis using Mintab.

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Reference no: EM132285582

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