In an effort to make better use of its resources, the New York City Food Bank engaged in lean process improvement. This employee-driven kaizen effort resulted in a new method for packing meals for distribution to needy families. One goal of the process improvement effort was to reduce the variability in the meal-packing time. The following table summarizes information from a sample of data using the current method and the new method. Did the kaizen event successfully reduce the population variation? Use ? = 0.10 and formulate the appropriate hypothesis test. Current Method New Method Sample Size n1 = 31 n2 = 23 Sample Variance s1^2 = 25 s2^2 = 14 State the null and alternative hypotheses. H0: ?1^2 ? ?2^2 Ha: ?1^2 > ?2^2 Calculate the value of the test statistic (to 2 decimals). The p-value is between 0.05 and 0.10. Use Table 4 of Appendix B. What is your conclusion? Conclude that the population variances has decreased due to the lean process improvement.
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They should be: \[ H_{0}: \sigma_{1}^{2} = \sigma_{2}^{2} \] (The variances are equal) \[ H_{a}: \sigma_{1}^{2} > \sigma_{2}^{2} \] (The variance of the first group is greater than the variance of the second group) Show more…
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