Tuesday, April 30, 2019

MGM600-0803B-02 Applied Managerial Decision-Making - Phase 3 Essay

MGM600-0803B-02 Applied Managerial Decision-Making - Phase 3 news Board 2 - Essay ExampleANOVA seek is of two types, One-Factor ANOVA and Two-Factor ANOVA (with and without replication). In One-Factor ANOVA, Dependent Variable (numerical) may be affected by one independent variable (categorical). In Two-Factor ANOVA, Dependent Variable (numerical) may be affected by two independent variables (categorical).An ANOVA streamlet is utile, when different data sets (to a greater extent than two) need to be compared for similar distribution population (treatment. A t-test can likewise be used for comparison however, it is limited to two samples. For more than two data sets, many t-test of necessity to be carried out sequenti every last(predicate)y that will increase statistical error due to accumulation. An ANOVA test lessons the statistical error due to analysis of entire data set at once and makes it more likely that a determination can be made in valid manner (Skrzypczak, 2006 Pienia zekon, A. 2007). deem 10 days daily defect rates for automotive computer chips manufactured fruit data for four different plant locations were available. Now for this data ANOVA can be useful for determining whether the observed differences in the plants sample mean defect rates merely due to stochastic variation or the observed differences between the plants defect rates too great to be attributed to chance. here(predicate) ANOVA hypothesis will be mean defects rates are same for at all four plants (H0) and at least one mean differs from the others (H1). The One-Factor ANOVA dependent variable will be defect rate and independent variable will be plant locations (Doane, & Seward, 2007).Suppose a hospital management needs to test whether a patients length of a stay (LOS) depends on the diagnostic-related group (DRG) code and the patients age group, so that resources and fixed costs are decent allocated. Considering case of bone fracture, LOS is a dependent variable measured in h ours and type of fracture (facial, universal gas constant or ulna, hip or femur, other lower extremity, all other) and

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