Write 5 pages with APA style on Theory and Problems of Probability and Statistics. So, with α = 0.05, the critical value of F in this analysis of variance test was F0.05 (1, 4) = 230. Since computed F (FC) is less than Tabulated F (FT), Ho is accepted. This is because the result of the “Analysis of Variance” (ANOVA) shows that the computed F (12.43) is less than the tabular values of F-statistics (230) at 0.05 degree of freedom (1, 4). This means that there is no significant difference between the variables of amounts claimed and amounts reimbursed in relation to “legitimate” expense claims. The resultant R Square 0.7565 is very close to 1 and it is above 0.75 which means that the correlation is near normal curve distribution, so, it is interpreted as a very high positive correlation. Thus, in percentile (%), 75.65 is an indicator of the significant relationship between the variables of amounts claimed and amounts reimbursed in relation to “legitimate” expense claims. Finally, the R square of 0.756494365is quite near to the adjusted R square 0.695617957. This means that the regression model approximately fits the data. The variables of amounts claimed and amounts reimbursed in relation to “legitimate” expense claims are not significant in the full regression equation. This is because the p-value of the two variables is not equal to zero. All of the test statistic values were very close to 1.96 which means that the hypothesis is rejected. The test statistics value of the Y-Intercept is z = 140.868609 / 26.70413145 = 5.275161606. The value falls to near the right rejection region. The test statistics value of P Claimed (250.5) = 0.283748969/ 0.0804926= 3.525155969. .

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