The P value indicates the probable level that the hypothesis under testing (the null hypothesis) is true. So if the p-value is 0.05, the probability of being true null hypothesis is 0.05. Since in most cases the null hypothesis is tested, we want a lower level of P to reject the null hypothesis. In the form of short, small amounts of p (p less than 0.05 indicates difference and the equal to or greater amount than 0.05 indicates that there is no difference. Obviously, the smaller to be obtained p, one can conclude with more confidence. Confidence Limits: confidence limits show the accuracy of the computed average. Confidence limits indicate that if the re- sampling of the population is done, the possibility that samples are put in calculated average rang to be 95%.