Applying Anova and Nonparametric Tests

Applying ANOVA and Nonparametric Tests Simulation

David Celis

05/03/2010

RES 342

John Kelly

Applying ANOVA and Nonparametric Tests Simulation

In order for something to be proven it must be tested. Additionally, when trying to test two or more samples of something, using the ANOVA or other nonparametric tests is useful and is usually the most accurate way of determining if samples are coming from the same distribution. By determining the sum of means, the ANOVA test will display the results in a ranking method by providing statistical evidence. The ANOVA test is also used when comparing multiple items that are of the same group. This is beneficial because it helps narrow down the possibilities of choosing the wrong test method. Another key point of the ANOVA test is that in a two-way experiment, three p-values are generated, one for each parameter and one that measures the relationship between two parameters.

By using the ANOVA simulation, I have determined that a precise level of problem solving is needed and can be used throughout a daily work routine. When faced with a problem, a hypothesis is formed in order to properly test the hypothesis. The following steps require a degree of problem solving skills in order to decipher the possible, mean, mode, frequencies, and the proper method on how to approach and fix a situation. Furthermore, based on the findings of the simulation, I would recommend that the company revamp their training procedures and develop and implement new testing methods in order to prevent unsatisfied customers and to produce a better quality of produce. It is important to understand that statistically many things can be proven and therefore can be held true. There are procedures in place to help catch things that have gone wrong and furthermore there are people that understand the process of how quality can be achieved effectively to using formulas to determine all of the variables. It is important to understand that no matter what...