•  Levene’s test based on median for testing homogeneity of variances.

•  A SUBCAT command that categorizes the desired factors just for the purpose of the analysis.

•  Standard error and confidence interval for the trimmed mean.

•  Winsorized mean, its standard error and confidence interval.

•  Sample mode and mode based on kernel density estimate of data.

•  Interquartile range

•  In Hypothesis Testing, SYSTAT 13 provides bootstrapbased pvalues and histograms of the test
statistic obtained from the bootstrap samples. Apart from the usual pvalues of the tests, users can
now request bootstrapbased pvalues in all tests for mean (onesample z, onesample t, two
sample z, twosample t, paired t, Poisson) and variance (single variance, two variances and several
variances)

•  In LeastSquares Linear Regression, a choice of bootstrapping residuals has been included.
Bootstrap estimates of the regression coefficients, their biases, standard errors, and confidence
intervals are then computed based on these.

•  Relative Risk: In a 2 x 2 table, the relative risk is the ratio of the proportions of cases having a
‘positive’ outcome in the two groups defined by row or column. Relative Risk is a common measure
of association for dichotomous variables.

•  Mode: SYSTAT 13 gives an option to list only the first N categories in a oneway table (frequency
distribution). This is done by adding a MODE = N option to the PLENGTH command within XTAB.

•  Output categorized appropriately based on the type of table, and reorganized table of measures.

•  Onesample Hotelling’s T2 test for mean vector of multivariate data equal to a known vector.

•  Twosample Hotelling’s T2 test for equality of two mean vectors of multivariate data.

•  Simplified and easy user interface and command line structure to analyze binary, multinomial,
conditional, and discrete choice models separately.

•  Option to specify the reference level for the binary and multinomial response models.

•  Simpler form of input data to analyze matched sample casecontrol studies with one case and
any number of controls per set.

•  For Discrete choice models, SYSTAT 13 provides two data layouts: ‘Choice set’ and ‘By choice’
to model an individual’s choices in response to the characteristics of the choices.

•  JonckeereTerpstra test as an alternative to MannWhitney test: The test is used when the
treatments are ordered in terms of the response. This test is based on the sum of the k(k1)/2 Mann
Whitney counts (for k treatments).

•  FlignerWolfe test as an alternative to MannWhitney test: The test is used when one of the
treatments acts as a control, to test equality of response to control visàvis all other treatments,
with a onesided alternative. This is a MannWhitney test with two groups when the control is one
group and all other treatments together form another.

•  Post hoc (multiple comparisons) tests of DwassSteelCritchlowFligner and of ConoverInman
which can be used as a followup when a KruskalWallis test shows significance.

•  A multiple comparison test due to Conover as a followup of Friedman test showing significance.
