Analyse-it® Standard Edition

Describe and visualise a sample, or test hypotheses about the location and distribution.
A wide range of parametric and non-parametric statistics and hypothesis tests are
provided. Confidence intervals are included wherever possible.
- Describe location & distribution with summary statistics
Statistics include mean, median, standard deviation (all with confidence intervals),
skewness, kurtosis, standard error of the mean, minimum, maximum, 1st & 3rd
quartiles, interquartile range and percentiles.
- Visualise distribution and identify outliers
Customisable histogram, frequency plot, box-whisker, Tukey box-, dot-, mean-, SD-
and percentile plots. Tukey box and whisker plot shows potential near- and far-
outliers.
- Test & visualise normality
Test normality with Shapiro-Wilk, Anderson Darling and Kolmogorov Smirnov tests,
or visually assess it with a Normal Quantile plot.
- Test randomness or for differences in mean/median/proportion
Includes 1-sample t-test, z-test, Binomial test, and Runs tests for randonmess.
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