## Math Statistics Class

Entisoft Tools 2.0 Object Library
Version 2.1 Build 208
<-- Previous || Index || Main || Topics || Next -->
Declarations Section

Math Statistics _ Initialize Sub
Initialize the MathStatistics Class, describing which numeric data types will be operated upon by the functions in this Class.
Sample Data Property
Returns an array of sample data for use in testing the statistical functions.
Stat Var Type Property
Determine if a specific numeric type of variable will be recognized by the statistical routines. Set whether a specific numeric type of variable will be recognized by the statistical routines.
Array 2D Sub
Converts a one-dimensional array into a two-dimensional array. See the examples in the ChiTstVerify function.
Average Function
Average (mean) value of numeric arguments.
Average Array Function
Average (mean) of numeric values. More efficient version of the Average Function but with restrictions on the arguments it accepts.
Average Deviation Function
Average deviation of numeric values from the mean.
Average Deviation Array Function
Average deviation of numeric values from the mean. More efficient version of the AverageDeviation Function but with restrictions on the arguments it accepts.
Chi Tst Function
Returns the chi-squared (X2) test for independence.
Chi Tst Verify Sub
Test the ChiTst function.
Concat All Types Sub
Concatenate all types of elements from vInput to array rOutput using counter rCount.
Concat Init Sub
Initialize the array and counter for the array concatenation routines.
Concat Is Numeric Sub
Concatenate numeric elements from vInput to array rOutput using counter rCount.
Concat Numeric Sub
Concatenate numeric elements from vInput to array rOutput using counter rCount.
Concat Numeric And String Sub
Concatenate numeric, boolean, and string numeric elements from vInput to array rOutput using counter rCount.
Concat Term Sub
Redimension the array rOutput based upon the number of elements according to the counter rCount.
Correlation Function
Returns the correlation coefficient of arrays vXValues and vYValues.
Count Function
Count the number of arguments that are numeric.
Count Equal Function
Count number of numeric arguments equal to the value vEqual.
Covariance Function
Returns the average of the products of the deviations for each data point pair.
Deviations Squared Function
Square of deviations of numeric values from the mean.
Deviations Squared Array Function
Square of deviations of numeric values from the mean. More efficient version of the DeviationsSquared Function but with restrictions on the arguments it accepts.
Fisher Function
Return the Fisher transformation at X.
Fisher Inverse Function
Return the inverse of the Fisher Transformation.
Flatten Numeric Sub
Accept an Array that contains other arrays and produces a one-dimensional array of "atomic" (non-array) elements.
Forecast Function
Predicts a future Y value for a specified X value using linear regression.
Geometric Mean Function
Geometric mean of positive numeric arguments.
Geometric Mean Array Function
Geometric mean of positive numeric values. More efficient version of the GeometricMean Function but with restrictions on the arguments it accepts.
Harmonic Mean Function
Harmonic mean of numeric arguments.
Harmonic Mean Array Function
Harmonic mean of numeric values. More efficient version of the HarmonicMean Function but with restrictions on the arguments it accepts.
Intercept Function
Calculates the point at which a line will intercept the Y axis using existing vYValues and vXValues. This point is based on a best-fit regression line plotted through the existing vYValues and vXValues.
Kurtosis Function
Returns the kurtosis of a distribution, as defined in Numerical Recipes in C, Second Edition. Measures the relative peakedness or flatness of a distribution.
Kurtosis Array Function
Returns the kurtosis of a distribution, as defined in Numerical Recipes in C, Second Edition. More efficient version of the Kurtosis Function but with restrictions on the arguments it accepts. Measures the relative peakedness or flatness of a distribution.
Kurtosis Excel Function
Returns the kurtosis of a distribution, as defined by Microsoft Excel. Measures the relative peakedness or flatness of a distribution.
Kurtosis Excel Array Function
Returns the kurtosis of a distribution, as defined by Microsoft Excel. More efficient version of the KurtosisExcel Function but with restrictions on the arguments it accepts. Measures the relative peakedness or flatness of a distribution.
Large Function
Returns the Nth largest number within vValues.
Maximum Function
Maximum of numeric arguments.
Maximum Array Function
Maximum of numeric values. More efficient version of the Maximum Function but with restrictions on the arguments it accepts.
Median Function
Median (middle) value of numeric arguments.
Median Deviation Function
Average deviation of numeric values from the median value.
Median Of Three Function
Median (or middle) of the three numeric arguments.
Median Of Three Verify Sub
Test the MedianOfThree function.
Minimum Function
Minimum of numeric arguments.
Minimum Array Function
Minimum of numeric values. More efficient version of the Minimum Function but with restrictions on the arguments it accepts.
Mode Function
Mode (most-frequently-occurring) value of numeric arguments.
Pearson Function
Returns the Pearson product moment correlation coefficient.
Percentile Function
Return the value from vValues at the Nth percentile. Inverse of the PercentRank function.
Percent Rank Function
Returns the rank of a value as a percentage of the values in the data set. Inverse of the Percentile function.
Probability Function
Returns the probability that the values in range vXValues are between two limits.
Product Function
Product of numeric arguments.
Product Array Function
Product of numeric values. More efficient version of the Product Function but with restrictions on the arguments it accepts.
Quartile Function
Returns the value from vValues at the quartile vQuartile.
Range Function
Range of numeric arguments. Return the difference between the maximum and minimum values.
Range Array Function
Range of numeric values. Return the difference between the maximum and minimum values. More efficient version of the Range Function but with restrictions on the arguments it accepts.
Rank Function
Returns the rank of the number vN within the numbers in vValues. vAscending determines how the numbers in vValues are sorted to determine the rank of vN.
R Squared Function
Returns the square of the Pearson product moment correlation coefficient. The proportion of the variance in Y attributable to the variance in X.
Skew Function
Returns the skewness of a distribution, as defined in Numerical Recipes in C, Second Edition. The skewness characterizes the degree of asymmetry of a distribution around its mean.
Skew Array Function
Returns the skewness of a distribution, as defined in Numerical Recipes in C, Second Edition. More efficient version of the Skew Function but with restrictions on the arguments it accepts. The skewness characterizes the degree of asymmetry of a distribution around its mean.
Skew Excel Function
Returns the skewness of a distribution, as defined by Microsoft Excel. The skewness characterizes the degree of asymmetry of a distribution around its mean.
Skew Excel Array Function
Returns the skewness of a distribution, as defined by Microsoft Excel. More efficient version of the SkewExcel Function but with restrictions on the arguments it accepts. The skewness characterizes the degree of asymmetry of a distribution around its mean.
Slope Function
Returns the slope of the linear regression line through data points in vYValues and vXValues.
Small Function
Returns the Nth smallest number within vValues.
Standard Deviation Function
Standard deviation of numeric arguments.
Standard Deviation Array Function
Standard deviation of numeric values. More efficient version of the StandardDeviation Function but with restrictions on the arguments it accepts.
Standard Deviation Population Function
Population standard deviation of numeric arguments.
Standard Deviation Population Array Function
Population standard deviation of numeric values. More efficient version of the StandardDeviationPopulation Function but with restrictions on the arguments it accepts.
Standard Error Function
Returns the standard error of the Y value for each X value in the linear regression.
Standardize Function
Returns a normalized value from a distribution with mean vMean and standard deviation vStdDev.
Sum Function
Sum (total) of numeric arguments.
Sum Array Function
Sum (total) of numeric values. More efficient version of the Sum Function but with restrictions on the arguments it accepts.
Sum Of Squares Function
Sum of squares of numeric arguments.
Sum Of Squares Array Function
Sum of squares of numeric values. More efficient version of the SumOfSquares Function but with restrictions on the arguments it accepts.
Trim Mean Function
Returns the mean of the values in the middle of a data set by excluding vPercent of the data points, half at the top and half at the bottom of the data.
Variance Function
Variance of numeric arguments.
Variance Array Function
Variance of numeric values. More efficient version of the Variance Function but with restrictions on the arguments it accepts.
Variance Population Function
Population variance of numeric arguments.
Variance Population Array Function
Population variance of numeric values. More efficient version of the VariancePopulation Function but with restrictions on the arguments it accepts.
Z Tst Function
Returns the two-tailed P-value of a z-test.

This Windows-based ActiveX DLL provides many useful routines through its function-bearing and data structure classes. Consult the Help file for more information, or call us at 1-310-472-3736. For the latest news and files, visit our home page on the World Wide Web: http://www.entisoft.com