Applying Anova

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  • Topic: Non-parametric statistics, Parametric statistics, Customer service
  • Pages : 1 (358 words )
  • Download(s) : 35
  • Published : April 22, 2008
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Applying ANOVA and Non Parametric Tests
a.What are three lessons you learned relative ANOVA and Nonparametric tests? While doing the simulation; the three lessons learned are as follows: Monitor – the situation
Measure – provide measurements, accumulate data
Improve – provide solutions for improvement.
b.As a result of using this simulation, what concepts and analytic tools will you be able to use in your workplace (i.e., how do you expect to apply what you learned)? As a result of using this simulation the writer thinks he can apply numerous concepts to the workplace. A favorite of the writer is the chi-squared test for ANOVA. The writer feels that he can make competent decision in his business model by consistently utilizing the appropriate test on particular dataset. When attempting to solve the dilemma associated with the lack of productivity in the first part of the scenario, using the information given, the writer noticed that not enough people were competent enough to complete the tasks assigned to them, and as a result, the writer the Praxidike Systems provide training to increase competency. This is a vital component of the competency issues that the writer has in his business. Training the customer service and technical support staff is a vital component of the measure of satisfaction that customers can expect to receive. c.Based on your experience, what additional information would you recommend to the key decision maker in the simulation to solve the challenge given?

In certain instances the writer would provide accept the data in the form of a Likert scale. Upon examination of the data, the writer concludes additional information from the customer would help the decision maker come to a more appropriate decision. In pursuing challenges like the ones in the simulation, it is imperative that the studies were conducted properly; an improper study can provide irrelevant data thus making all the results null and void.

This simulation...
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