The data will be inputted into a Statistical Program for Social Science program for analysis. Group differences between cases and levels of agitation will be examined by two-tailed t-tests and analysis of variance. Analysis of variance and its derivatives will be used to determine what, if any, differences exist between the patient's agitation and psychological pain scale assessments at 30 minute intervals up to the two hour mark. Because the relation between the predictor and outcome variables is not presumed to be a linear function, the measure of association between the outcome of interest and the predictor variable is represented by an odds ratio instead of a multiplicative factor. Comparisons of odds ratio between predictor variables help determine the factors of greatest importance, while their confidence intervals will indicate their statistical significance. This will determine the probability of which test will accurately predict the lowering levels of agitation at timed intervals as compared to each other and to the dependent variable. Additionally, it can predict any correlations to the independent variables which may influence the outcomes such as gender, age and diagnosis.