The Importance of Meeting Assumptions for a Statistical Test

Why Meet Assumptions for a Statistical Test
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Why Meet Assumptions for a Statistical Test
Meeting assumption for a statistical test is very important because most of statistical techniques used to analyze information require that the assumptions be met. This is because application of statistical techniques when the assumptions are not met causes a serious problem during data analysis. According to Hoekstra et al. (2012), when assumptions are not fully met or when they are violated can completely impact type 1 and type 11 errors of statistical tests. The effect can cause over approximation or under approximation of the inferential measures. In addition, influence the sizes of the data used. In cases where a researcher uses traditional procedures routinely in every research without consideration of the assumptions related to the research there are high chances that the information contains non-replicable outcomes (Hoekstra et al., 2012).
Assumptions in a statistical test should also be met to ensure that there is equal distribution of the population used...