Agricomp Case Study

AgriComp case study

The repair costs and non-refundable charges insulted local dealers creating discontent. Currently, the local dealers service AgriComp computer systems by providing local support and repair. To alleviate the tension, AgriComp gave a survey to determine if policy changes were necessary for settling warranty claim disputes. The survey was able to provide 292 responses from 350 affiliated dealers nationwide. Changes would be costly, and a comprehensive study is necessary to determine the findings.

The one-page survey asked dealers about the warranty appeals process and the use of a mediator. The survey gave the choice on a rating scale from one to five (ordinal scale) and a nominal scale to determine the frequency of appeals. The measurements of the study contain both dependent and independent variables. AgriComp needs to identify; if all dealers are upset or just a few, how to keep them happy, and what changes are necessary.

To begin calculating the findings team b, will use the six-step process to complete a cross-tabulation table. The cross tabulation table will provide the statistical significance. The Chi-square test will show if the variables are dependent or independent. This study will incorporate how the six-step statistical procedure applies to the AgriComp case and identifies the variables presented and the level of measurement. Further analyzing why the management levels are appropriate, how the data relates to cross-tabulation, and management recommendations about the dealers.

Six-Step Statistical Testing

The first variable is the warranty appeals process and the second, is the use of a mediator. These two questions given while the survey will provide the data necessary to complete a comparison of statistical decisions. Error type I is the significance level of probability = , and error type II is the power of test probability = . If the degree of probability of type I is correct, then the appeal process remains...