*left*box:-

- Bartlett's test
- Kruskal-Wallis test
- One-way ANOVA test
- Two-factor ANOVA test

The method of entering data is by separating each dataset by a semi-colon - each dataset is made up of comma separated numbers.

Consider the one-way ANOVA example in http://cba.ualr.edu/smartstat/topics/anova/example.pdf, where the following results are shown:-

Suppose the National Transportation Safety Board (NTSB) wants to examine the safety of
compact cars, midsize cars, and full-size cars. It collects a sample of three for each of the
treatments (cars types). Using the hypothetical data provided below, test whether the mean
pressure applied to the driver’s head during a crash test is equal for each types of car.

Table ANOVA.1

Compact cars Midsize cars Full-size cars

643 469 484

655 427 456

702 525 402

The above data should be entered in the One-way ANOVA test panel as shown:-

Compact cars Midsize cars Full-size cars

643 469 484

655 427 456

702 525 402

The above data should be entered in the One-way ANOVA test panel as shown:-

Pressing the calculate button results in a full breakdown of the results for the ANOVA test that populates the right (textview) box

*as well as post-hoc analysis should the results be significant*, and is best illustrated by the video on youtube accessible at:-
The post-hoc analysis is based on the Tukey's HSD test, and is restricted to the scenario where all the populations have the same number of samples.

The above datasets can be input as a CSV file attachment - the file should have contents as below:-

# 3

643,469,484

655,427,456

702,525,402

Note that the first line is a comment line, starting with the character # and followed by number 3, which is the number of groups/datasets/populations. Also, each

*column*of the CSV file corresponds to a particular group/dataset - this restricts all the groups/datasets to have the same number of samples, for file import mode.