/**
   * 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;
  }
Esempio n. 3
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 /**
  * Returns the Pvalue for a particular score.
  *
  * @param score
  * @return
  */
 protected static double scoreToPvalue(double score) {
   return ContinuousDistributions.GaussCdf(score);
 }
Esempio n. 4
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 /**
  * 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));
 }