Relationships validation between KPOV and KPIV using hypothesis tests

Abstract

Hypothesis tests are procedures for making rational decisions about the reality of effects. The objective of this paper was to determine the relationships between Key Process Output Variables (KPOV) and Key Process Input Variables (KPIV) using 1-proportional test, 2-proportional test, and Chi square test. Due to 95% of confidence interval, so, this paper uses the 5% of α risk. Therefore, if the calculated p-value is less than 5%, the null hypothesis (H0) will be rejected and therefore, the alternative hypothesis (Ha) will be true. If the calculated pvalue is more than 5%, the null hypothesis will be accepted.