Descriptive Stats
 Arithmetic mean
 Standard deviation (n1)
 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 Chisquared
 2x2 Chisquared
 Fisher's exact test
 McNemar's test
 Onesample chisquared
 Cramer's V
 Contingency coefficient
 Wilcoxon's matched pairs
 MannWhitney UTest
 Friedmann's test
 KruskalWallis test
 Spearman rank correlation
 Kendall rank correlation
 Kendall partial rank correlation
 Kendall coefficient of concordance
 LogRank test
 MantelHaenszel test
 KolmogorovSmirnov test
 Phicoefficient for 2x2 tables
 Cramer coefficient C
 Median test
 Extension of the median test
 Robust rank order test
 SiegelTukey test for scale differences
 Moses ranklike test for scale differences
 Cochran Qtest
 Jonckheere test for ordered alternatives
 Page test for ordered alternatives
 Chisquare 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 Ftest
 Fisher's cumulant test for normality of a distribution
 Ftest for two counts (Poisson distribution)
 Wilcoxon inversion (U) test
 Median test of two populations
 Median test of k populations
 The SiegalTukey 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
 Runtest on successive differences for randomness in a sample
 Runtest for randomness of two related samples
 Runtest for randomness in a sample
 WilcoxonMannWhitney 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 nominalscale 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
 FisherPitman randomization test for intervalscale data
 PitmanWelch test for interval scale data
 Wall test for nominal scale data
 Pitman randomization test for interval scale data
 Angularangular correlation
 Watson U2 test (To test whether two samples from circular observations differ significantly from each other, regarding mean direction or angular variance
 WatsonWilliams 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
 Boxwhisker graph
 3D surface graph
 Bubble charts
 Polar charts
 Radar charts
 Polynomial regression plot
 Pareto chart option in frequency analysis plots
 KaplanMeier survival curves
 Density function plots and cumulative probability plots for Gaussian (Normal) distribution, lognormal distribution, Weibull distribution, gamma distribution, Poisson distribution, beta distribution and chisquare distribution
 Regression plots direct from raw data (single factor, single factor repeated measures)
 Polynomial regression plots
 Onefactor response curves and twofactor response surface plots(1st and 2nd order)
 Minimum spanning tree plots for 2 dimensions
 LeveyJennings/Shewart Charts
 Sequential test for a population mean
 Sequential test for a standard deviation classification
 cchart
 Xchart
 Rchart


Parametric Tests
 Frequency analysis
 Unpaired ttest
 Paired ttest
 Unequal variance ttest
 Bonferroni ttest
 Oneway nonrepeated ANOVA
 Oneway repeated ANOVA
 Twoway replicated ANOVA
 Twoway repeated ANOVA
 Threeway 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
 DurbinWatson 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
 Linearlinear correlation
 Angularangular correlation
 Angularlinear 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
 LinkWallace test for multiple comparisons of k population means
 Hotelling's Tsquare test for two series of population means
 Dixon test for outliers
 Ftest for the overall mean of K subpopulations (ANOVA)
 Ftest for multiple comparisons of contrasts between K population means
 Ftest for K population means (ANOVA)
 Ztest of a correlation coefficient
 Ztest of 2 correlation coefficients
 ttest of a correlation coefficient
 Hartley's test for equality of K variances
 Fisher cumulant test for normality of a distribution
 Ftest for two population variances
 Ztest for correlated proportions
 The w/s test for normality of a population
 Cochran test for variance outliers
 Chisquare test for compatibility of K counts
 Cochran test for consistency in an nxk table of dichotomous data
 Chisquare test for consistency in a 2xk table
 Chisquare 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)
 MardiaWatsonWheeler test (to test whether two independent random samples from circular observations differ significantly from each other regarding mean angle, angular variance or both)
 HarrisonKanjiGadsden 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
 ChiSquared 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 userdefined 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
 KolmogorovSmirnoff 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
