## The data in the following  come from a complete 23 factorial experiment to study the effect of cutting speed (A), tool geometry (B), and cutting angle (C) on the life of a machine tool.

The data in the following  come from a complete 23 factorial experiment to study the effect of cutting speed (A), tool geometry (B), and cutting angle (C) on the life of a machine tool. Two levels of each factor were chosen and there were three replicates for each factor-level combination.

(Source: D. C. Montgomery (1984), Design and Analysis of Experiments, 2nd ed. p. 292, John Wiley Press, Inc. Used with permission.) (a) Given that SSE = 482.67, SST = 2095.33 analyze the data by computing the ANOVA  and determine which main effects and interactions are significant at the level α = 0.05. (b) Using the results in part (a) compute the proportion of the total variability explained by each main effect and interaction. Rank the effects in decreasing order of importance as measured by SS(effect)/SST.

### Former President Suharto of Indonesian once famously dismissed the concern over his country’s corruption by saying:

Former President Suharto of Indonesian once famously dismissed the concern over his country’s corruption by saying: Well you come out here from Washington with these high ideas to tell us….

### Construct a clear vision and organising statement for this change to motivate and inspire the stakeholders.

For this task you will create a digital poster (900 words, excluding references) on which you outline for the need for change in response to the case study provided. The….

### Suppose you are presented with the following regression equation involving health care expenditures and its determinants, where all of the variables have been defined previously.

Suppose you are presented with the following regression equation involving health care expenditures and its determinants, where all of the variables have been defined previously. E 5 500 2 25P….