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Version 2.1

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Stat-200 Features

Descriptive Stats
  • Arithmetic mean
  • Standard deviation (n-1)
  • Standard deviation (n)
  • Standard error
  • Skewness
  • Kurtosis
  • 95% confidence limit for mean
  • 99% confidence limit for mean
  • Min value
  • Max value
  • Sample range
  • Number of samples
  • Median
  • Sx
  • Sx2
  • Geometric mean
  • Variance
  • Average deviation
  • Angular Descriptive Stats
  • Cosine mean
  • Sine Mean
  • Mean vector length
  • Mean angle Cosine
  • Mean angle Sine
  • Mean angle Tan
  • Mean angle
  • Circular variance
  • Angular variance
  • Angular deviation
  • Circular standard deviation

Nonparametric Tests

  • NxK Chi-squared
  • 2x2 Chi-squared
  • Fisher's exact test
  • McNemar's test
  • One-sample chi-squared
  • Cramer's V
  • Contingency coefficient
  • Wilcoxon's matched pairs
  • Mann-Whitney U-Test
  • Friedmann's test
  • Kruskal-Wallis test
  • Spearman rank correlation
  • Kendall rank correlation
  • Kendall partial rank correlation
  • Kendall coefficient of concordance
  • LogRank test
  • Mantel-Haenszel test
  • Kolmogorov-Smirnov test
  •  Phi-coefficient for 2x2 tables
  • Cramer coefficient C
  • Median test
  • Extension of the median test
  • Robust rank order test
  • Siegel-Tukey test for scale differences
  • Moses rank-like test for scale differences
  • Cochran Q-test
  • Jonckheere test for ordered alternatives
  • Page test for ordered alternatives
  • Chi-square test for k independent samples
  • Kendall coefficient of agreement u
  • Kappa statistic for nominally scaled data
  • Gamma statistic for ordered variables
  • Lambda statistic for asymmetrical association
  • Somers d for asymmetrical association of ordered variables
  • Cox's F-test
  • Fisher's cumulant test for normality of a distribution
  • F-test for two counts (Poisson distribution)
  • Wilcoxon inversion (U) test
  • Median test of two populations
  • Median test of k populations
  • The Siegal-Tukey rank sum dispersion test of two variances
  • Steel test for comparing K treatments with a control
  • Sequential test for a population mean
  • Sequential test for a standard deviation
  • Adjacency test for randomness of fluctuations
  • Serial correlation test for randomness of fluctuations
  • Turning point test for randomness of fluctuations
  • The difference sign test for randomness in a sample
  • Run-test on successive differences for randomness in a sample
  • Run-test for randomness of two related samples
  • Run-test for randomness in a sample
  • Wilcoxon-Mann-Whitney rank sum test for randomness of signs
  • Friedmann's test for multiple treatment of a series of subjects
  • Rank correlation test for agreement in multiple judgements
  • Test the equality of multinomial distributions
  • Bowker test for nominal-scale data
  • Lehmacher test for variables with more than 2 categories
  • Fisher contingency table test for variables with more than two categories
  • Gehan test for censored data
  • Fisher-Pitman randomization test for interval-scale data
  • Pitman-Welch test for interval scale data
  • Wall test for nominal scale data
  • Pitman randomization test for interval scale data
  • Angular-angular correlation
  • Watson U2 test (To test whether two samples from circular observations differ significantly from each other, regarding mean direction or angular variance
  • Watson-Williams test (to test whether the mean angles of two independent circular observations differ significantly from each other)

Graphics

  • Pie chart
  • Bar chart
  • Area graph
  • Line graph
  • Scatter graph
  • Box-whisker graph
  • 3D surface graph
  • Bubble charts
  • Polar charts
  • Radar charts
  • Polynomial regression plot
  • Pareto chart option in frequency analysis plots
  • Kaplan-Meier survival curves
  • Density function plots and cumulative probability plots for Gaussian (Normal) distribution, lognormal distribution, Weibull distribution, gamma distribution, Poisson distribution, beta distribution and chi-square distribution
  • Regression plots direct from raw data (single factor, single factor repeated measures)
  • Polynomial regression plots
  • One-factor response curves and two-factor response surface plots(1st and 2nd order)
  • Minimum spanning tree plots for 2 dimensions
  • Levey-Jennings/Shewart Charts
  • Sequential test for a population mean
  • Sequential test for a standard deviation classification
  • c-chart
  • X-chart
  • R-chart
Parametric Tests

  • Frequency analysis
  • Unpaired t-test
  • Paired t-test
  • Unequal variance t-test
  • Bonferroni t-test
  • One-way non-repeated ANOVA
  • One-way repeated ANOVA
  • Two-way replicated ANOVA
  • Two-way repeated ANOVA
  • Three-way ANOVA
  • Linear regression
  • Multiple linear regression
  • Compare two observed values
  • Compare 2 sample proportions
  • Compare sample and population
  • Compare paired proportions
  • Bartlett's test
  • Dunnett's test
  • Duncan's test
  • Tukey's test
  • General N factor ANOVA for multiple fixed effects factors
  • 2k factorial design for k=2,3
  • Durbin-Watson test (residual auto correlation test)
  • Single classification ANCOVA for completely randomized design
  • Pearson R
  • Repeated measures linear regression
  • Backward elimination for multiple linear regression
  • Polynomial regression
  • Tigonometric regression
  • Linear-linear correlation
  • Angular-angular correlation
  • Angular-linear correlation
  • Rayleigh test determine if oberved samples of angular data have a tendency to cluster around a given angle indicating a lack of randomness of the distribution)
  • Single Factor analysis of variance for angular data
  • Link-Wallace test for multiple com-parisons of k population means
  • Hotelling's T-square test for two series of population means
  • Dixon test for outliers
  • F-test for the overall mean of K subpopulations (ANOVA)
  • F-test for multiple comparisons of contrasts between K population means
  • F-test for K population means (ANOVA)
  • Z-test of a correlation coefficient
  • Z-test of 2 correlation coefficients
  • t-test of a correlation coefficient
  • Hartley's test for equality of K variances
  • Fisher cumulant test for normality of a distribution
  • F-test for two population variances
  • Z-test for correlated proportions
  • The w/s test for normality of a population
  • Cochran test for variance outliers
  • Chi-square test for compatibility of K counts
  • Cochran test for consistency in an nxk table of dichotomous data
  • Chi-square test for consistency in a 2xk table
  • Chi-square test for independence in a pxq table
  • Sign test for a median
  • Sign test for two medians (paired observations)
  • Signed rank test for a mean
  • Signed rank test for two mean (paired observations)
  • Mardia-Watson-Wheeler test (to test whether two independent random samples from circular observations differ significantly from each other regarding mean angle, angular variance or both)
  • Harrison-Kanji-Gadsden test

Data Transforms

  • Polynomial
  • Reciprocal
  • Natural Log
  • Log10
  • Log2
  • Ln(x+1)
  • Exp(x)
  • Square Root
  • Cube Root
  • Xn
  • Sin
  • Cos
  • Tan
  • Sort Ascending
  • Sort Descending
  • Rank Ascending
  • Rank Descending
  • Modulo
  • Absolute Value
  • Standardize
  • Center
  • Multiply columns
  • Divide columns
  • Add columns
  • Subtract columns
  • Error function
  • Complementary error function
  • Logit
  • Probit
  • Normit
  • Normal probabilites
  • Student's t probabilities
  • F distribution probabilities
  • Chi-Squared probabilities
  • Transform by a spreadsheet formula
  • Matrix operations: inverse matrix, transpose Matrix
  • Sinh
  • Cosh
  • Tanh
  • aSin
  • aCos
  • aTan
  • Bessel functions of first and second kind
  • Conversions
  • Integer ceiling, floor
  • Powerful language to program user-defined transforms

Miscellaneous

  • Generate uniformly distributed random numbers
  • Generate normal randomly distributed numbers
  • Generate Poisson randomly distributed numbers
  • Generate exponentially distributed numbers
  • Generate gamma randomly distributed numbers
  • Fill range with arithmetic sequence
  • Fill range with geometric sequence
  • Fill range with constant
  • Kolmogorov-Smirnoff test for goodness of fit (to investigate the difference between an observed distribution and a specified population distribution)

Quality control

  • The sequential test for a dichotomous classification
  • Quality control acceptance sampling





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