'r', its value varies between -1 and 1, 1 means perfect correlation, 0 means no correlation, positive values means the relationship is positive, negative values mean the relationship is negative. Also called correlation coefficient.
If the sample test size is 12 and observed value is 0.8, calculate the r to P value.
Sample Size = 12 Observed value = 0.8
r to P Value
Let us first calculate the value of true correlation.
t = 0.8 |
√[(1 - (0.8)2)/(12 - 2)] |
= 0.8 |
√[(0.36)/(10)] |
t = 4.216 |
Degrees of freedom Calculation: df = 10
P (one and two tailed) Calculation: P = [ 1/ ( (√10) Β(1/2,10/2) ) ] lt->-t to 4.216 ∫ ( 1+ 4.216²/10)(-(v+1)/2) .4.216 one tailed = 0.000891 two tailed = 0.001782
P value one tailed = 0.000891 and two tailed = 0.001782