Cross Correlation Significance Test. This will give you the estimate of the CCF if the two time series were completely uncorrelated. The value of the test statistic t is shown in the computer or calculator output along with the p -value.
It is represented by 𝝆 and calculated as-. On typical statistical test consists of assessing whether or not the correlation coefficient is significantly different from zero. It is the covariance of two variables divided by the product of their standard deviations.
The value of the test statistic t is shown in the computer or calculator output along with the p -value.
One of them is based on the critical correlation. We decide this based on the sample correlation coefficient r and the sample size n. One of them is based on the critical correlation. The sample data are used to compute r the correlation coefficient for the sample.
