Development of a Correlation between the Resilient Modulus and CBR Value for Granular Blends Containing Natural Aggregates and RAP/RCA Materials

Table 6

Summary of the statistical analysis of the proposed model at an alpha value of 0.05 which matches to 95% confidence level.

Case			Comments
1	t-Critical = 2.0	t-Statistic = 14.59	Since t-statistic > t-critical which implies that value of the correlation coefficient is not due to sampling error, the null hypothesis is rejected and it is concluded that there is a significant correlation between (MR)measured and CBR value in the population.
2	r-Pearson = 0.9	r-Critical = 0.27	Since r-Pearson > r-critical which implies that the null hypothesis is rejected, it is quite realistic to accept the “alternative hypothesis,” that is the value of r that we have obtained from our sample represents a real relationship between (MR)measured and CBR value in the population.
3	t-Critical = 2.0	t-Statistic = 0.52	Since t-statistic < t-critical which implies that the null hypothesis is accepted, it is concluded that there is an insignificant difference between (MR)measured and (MR)correlated values in the population.