/**
* Returns the Pvalue for a particular score
*
* @param score
* @param n
* @return
*/
protected static double scoreToPvalue(double score, int n) {
if (n <= 20) {
// calculate it from binomial distribution
// EXPAND: waiting for tables from Dimaki
}
double mean = n * (n + 1.0) / 4.0;
double variable = n * (n + 1.0) * (2.0 * n + 1.0) / 24.0;
double z = (score - mean) / Math.sqrt(variable);
return ContinuousDistributions.GaussCdf(z);
}
/**
* Checks the Critical Value to determine if the Hypothesis should be rejected
*
* @param score
* @param is_twoTailed
* @param aLevel
* @return
*/
protected static boolean checkCriticalValue(double score, boolean is_twoTailed, double aLevel) {
double probability = ContinuousDistributions.GaussCdf(score);
boolean rejectH0 = false;
double a = aLevel;
if (is_twoTailed) { // if to tailed test then split the statistical significance in half
a = aLevel / 2;
}
if (probability <= a || probability >= (1 - a)) {
rejectH0 = true;
}
return rejectH0;
}
/**
* Returns the Pvalue for a particular score.
*
* @param score
* @return
*/
protected static double scoreToPvalue(double score) {
return ContinuousDistributions.GaussCdf(score);
}
/**
* Returns the Pvalue for a particular score
*
* @param score
* @param n
* @param k
* @return
*/
protected static double scoreToPvalue(double score, int n, int k) {
return 1.0 - ContinuousDistributions.ChisquareCdf(score, (n - 1) * (k - 1));
}
