- computeA(double[], double[]) - Static method in class VStats
-
Returns the y-intercept of the least-squares regression line (LSRL) equation,
in a double format.
- computeB(double[], double[]) - Static method in class VStats
-
Returns the slope of the least-squares regression line (LSRL) equation, in a
double format.
- computeBinomialCdfProb(int, int, int, double) - Static method in class VStats
-
Returns the binomial probability of an interval of x-values, in a
double format.
- computeBinomialPdfProb(int, int, double) - Static method in class VStats
-
Returns the binomial probability of a single x-value, in a
double format.
- computeChiSquareCDF(double, double, int) - Static method in class VStats
-
Returns the area (probability) under the chi-square function between 2
chi-square values.
- computeChiSquareGOFTest(double[], double[], double) - Static method in class VStats
-
Returns the final decision and p-value of the chi-square goodness of fit
(GOF) test.
- computeChiSquarePDF(double, int) - Static method in class VStats
-
Returns the output of the chi-square function when provided a chi-square
value and the degrees of freedom.
- computeChiSquareTwoWayTest(double[][], double) - Static method in class VStats
-
Returns the final decision and p-value of a two-way chi-square test.
- computeColumnProduct(double[][], int) - Static method in class VStats
-
Returns the product of the elements of a column in a 2D array (0-based
index), as a double format.
- computeColumnSum(double[][], int) - Static method in class VStats
-
Returns the sum of the elements of a column in a 2D array (0-based index), as
a double format.
- computeCombinations(int, int) - Static method in class VStats
-
Returns the number of combinations (in int format) possible when
given the n-value and r-value (with respect to the format: nCr).
- computeDiscreteExpectedValue(double[], double[]) - Static method in class VStats
-
Returns the expected value of a discrete random variable, in a
double format.
- computeDiscreteStandardDeviation(double[], double[]) - Static method in class VStats
-
Returns the standard deviation of a discrete random variable, in a
double format.
- computeDiscreteVariance(double[], double[]) - Static method in class VStats
-
Returns the variance of a discrete random variable, in a double
format.
- computeFactorial(int) - Static method in class VStats
-
Returns the factorial (in int format) of an int.
- computeGammaFunction(double) - Static method in class VStats
-
Returns the an approximation of the gamma function when given an input.
- computeGeometricCdfProb(double, int, int) - Static method in class VStats
-
Returns the geometric probability of an interval of x-values, in a
double format.
- computeGeometricPdfProb(int, double) - Static method in class VStats
-
Returns the geometric probability of a single x-value, in a
double format.
- computeInverseNormalApprox(double) - Static method in class VStats
-
Returns the corresponding z-score with respect to the left area under the
probability density function (for normal distributions).
- computeIQR(double[]) - Static method in class VStats
-
Returns the interquartile range (IQR) of a double array, in a
double format.
- computeLinRegTTestNegativeSlope(double[], double[], double) - Static method in class VStats
-
Returns the final decision and p-value of a linear regression t-test.
- computeLinRegTTestPositiveSlope(double[], double[], double) - Static method in class VStats
-
Returns the final decision and p-value of a linear regression t-test.
- computeLinRegTTestUnequalSlope(double[], double[], double) - Static method in class VStats
-
Returns the final decision and p-value of a linear regression t-test.
- computeLSRLOutput(double[], double[], double) - Static method in class VStats
-
Returns a double which represents the predicted y-value (ŷ) when
an x-value is inputted into the least-squares regression line (LSRL).
- computeMAD(double[]) - Static method in class VStats
-
Returns the mean absolute deviation (MAD) of a double array, in
a double format.
- computeMatrixAddition(double[][], double[][]) - Static method in class VStats
-
Returns a double 2D array containing the sum of the 2 parameter
matrices (2D arrays).
- computeMatrixMultiplicationByScalar(double[][], double) - Static method in class VStats
-
Returns a double 2D array containing the product of a matrix and
a scalar.
- computeMatrixSubtraction(double[][], double[][]) - Static method in class VStats
-
Returns a double 2D array containing the difference of the 2
parameter matrices (2D arrays).
- computeMaximum(double[]) - Static method in class VStats
-
Returns the maximum value of a double array, in a
double format.
- computeMean(double[]) - Static method in class VStats
-
Returns the mean (average) of a double array, in a
double format.
- computeMedian(double[]) - Static method in class VStats
-
Returns the median (second quartile) of a double array, in a
double format.
- computeMinimum(double[]) - Static method in class VStats
-
Returns the minimum value of a double array, in a
double format.
- computeMode(double[]) - Static method in class VStats
-
Returns the mode (most occurring value) of a double array, in a
double format.
- computeNormalPDF(double) - Static method in class VStats
-
Returns the output (in a double format) of the probability
density function (for normal distributions).
- computeOneMeanTTestHaGreaterThanValue(double, double, double, int, double) - Static method in class VStats
-
Returns the final decision and p-value of a significance test, utilizing the
t-distribution.
- computeOneMeanTTestHaLessThanValue(double, double, double, int, double) - Static method in class VStats
-
Returns the final decision and p-value of a significance test, utilizing the
t-distribution.
- computeOneMeanTTestHaNotEqualToValue(double, double, double, int, double) - Static method in class VStats
-
Returns the final decision and p-value of a significance test, utilizing the
t-distribution.
- computeOneMeanZConfInt(double, double, int, double) - Static method in class VStats
-
Returns a String which represents the confidence interval for a
single mean, making use of the z-distribution.
- computeOneMeanZTestHaGreaterThanValue(double, double, double, int, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for a single mean, utilizing the z-distribution.
- computeOneMeanZTestHaLessThanValue(double, double, double, int, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for a single mean, utilizing the z-distribution.
- computeOneMeanZTestHaNotEqualToValue(double, double, double, int, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for a single mean, utilizing the z-distribution.
- computeOnePropZConfInt(double, int, double) - Static method in class VStats
-
Returns a String which represents the confidence interval for
estimating a single population proportion.
- computeOnePropZTestP0GreaterThanValue(double, double, double, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for a single proportion, utilizing the z-distribution.
- computeOnePropZTestP0LessThanValue(double, double, double, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for a single proportion, utilizing the z-distribution.
- computeOnePropZTestP0NotEqualToValue(double, double, double, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for a single proportion, utilizing the z-distribution.
- computeOutliers(double[]) - Static method in class VStats
-
Returns a double ArrayList containing any possible
outliers in a double array.
- computePermutations(int, int) - Static method in class VStats
-
Returns an int which represents the number of possible
permutations, when the inputs are the n-value and the r-value.
- computeQuartile1(double[]) - Static method in class VStats
-
Returns the first quartile of a double array, in a
double format.
- computeQuartile3(double[]) - Static method in class VStats
-
Returns the third quartile of a double array, in a
double format.
- computeR(double[], double[]) - Static method in class VStats
-
Returns the correlation coefficient (r-value) of the relationship between the
independent and dependent variables, in a double format.
- computeRange(double[]) - Static method in class VStats
-
Returns the range (maximum value - minimum value) of a double
array, in a double format.
- computeResidualValues(double[], double[]) - Static method in class VStats
-
Returns a double array containing the residual values.
- computeRowProduct(double[][], int) - Static method in class VStats
-
Returns the product of the elements of a row in a 2D array (0-based index),
as a double format.
- computeRowSum(double[][], int) - Static method in class VStats
-
Returns the sum of the elements of a row in a 2D array (0-based index), as a
double format.
- computeRSquared(double[], double[]) - Static method in class VStats
-
Returns the r^2-value of the relationship between the independent and
dependent variables, in a double format.
- computeSe(double[], double[]) - Static method in class VStats
-
Returns the standard error (Se) of the residuals, in a double
format.
- computeSeb(double[], double[]) - Static method in class VStats
-
Returns the standard error of the slope.
- computeStandardDeviation(double[]) - Static method in class VStats
-
Returns the standard deviation of a double array, in a
double format.
- computeSumOfResidualsSquared(double[], double[]) - Static method in class VStats
-
Returns the sum of the residuals squared, in a double format.
- computeSumValues(double[]) - Static method in class VStats
-
Returns the sum of the values of a double array, in a
double format.
- computeTCDF(double, double, int) - Static method in class VStats
-
Returns the area (probability) under the t-distribution function between two
t-values.
- computeTPDF(double, int) - Static method in class VStats
-
Returns the output of the Student's t-distribution function when given the
input value
and degrees of freedom.
- computeTwoPropZTestP1GreaterThanP2(int, int, int, int, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for 2 proportions, utilizing the z-distribution.
- computeTwoPropZTestP1LessThanP2(int, int, int, int, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for 2 proportions, utilizing the z-distribution.
- computeTwoPropZTestP1NotEqualToP2(int, int, int, int, double) - Static method in class VStats
-
Returns the final decision (a String) of the significance test
for 2 proportions, utilizing the z-distribution.
- computeVariance(double[]) - Static method in class VStats
-
Returns the variance of a double array, in a double
format.
- computeYPredictedValues(double[], double[]) - Static method in class VStats
-
Returns a double array containing the predicted y-values (ŷ).
- computeZProbAvgLeftRightRiemann(double, double) - Static method in class VStats
-
Returns the (highly accurate) probability approximation between two z-scores
for the probability density function (for normal distributions) using the
average of a left-endpoint & right-endpoint Riemann sum.
- computeZProbLeftRiemann(double, double) - Static method in class VStats
-
Returns the (highly accurate) probability approximation between two z-scores
for the probability density function (for normal distributions) using a
left-endpoint Riemann sum.
- computeZProbMidpointRiemann(double, double) - Static method in class VStats
-
Returns the probability approximation between two z-scores for the
probability density function (for normal distributions) using a midpoint
Riemann sum (accurate to about 6 decimal places).
- computeZProbRightRiemann(double, double) - Static method in class VStats
-
Returns the (highly accurate) probability approximation between two z-scores
for the probability density function (for normal distributions) using a
right-endpoint Riemann sum.
- computeZProbTrapezoidRiemann(double, double) - Static method in class VStats
-
Returns the probability approximation between two z-scores for the
probability density function (for normal distributions) using a trapezoidal
Riemann sum.
- computeZStar(double) - Static method in class VStats
-
Returns a double which represents the z-star (z-critical) value
when a confidence level is inputted.