In business today, People can all appreciate customer satisfaction, employee involvement, and continuous improvement.
In order to ensure quality, they are able to utilize a statistical tool in Operations Research and Total Quality Management, known as Analysis of Variance (ANOVA) or The Kruskal-Wallis Test. ANOVA assumes that each population being studied has a normal distribution, that the errors are random and independent of each other, and that all populations have the same variance.However, another nonparametric test Kruskal-Wallis assumes the data does not have a normal distribution and the data is ordinal and not quantitative. In Applying ANOVA and Nonparametric Tests Simulation, I learned: 1. Defining characteristics of ANOVA Test and Kruskal-Wallis Test 2. If the data does not have normal distribution, use Kruskal-Wallis Test 3.
One-way and two-way ANOVA analysis is a technique used to compare means of two or more groups; variables like client satisfaction and core competencyAt the workplace, I would like to increase productivity, customer satisfaction, and continued education among sales and service representatives. In order to do this, I can apply the concepts of ANOVA analysis or Kruskal-Wallis. My recommendation to the key decision maker would be to double check if that is the best solution and that we might not over look the rest of variables. Proficiency is a necessity in insurance and financial industry.
Your job depends on your competency.
