ProbCalc deals with four common statistical distributions: Z, t, F, and chi square. These distributions are used for statistical inference, usually within the context of experimental or applied research. ProbCalc can be used in lieu of tables printed in the back of statistical text books.
In null hypothesis testing, an experiment is conducted usually with at least one experimental group and one control group. For example, one group of people may be given a "brain booster" drug, and another group given a placebo. Then an IQ test is administered to see if the drug had any effect. Rarely will two groups get exactly the same results even when the experimental treatment had no effect. Statistics can be computed to determine the liklihood of the observed outcome under the presumption that the experimental treatment had no effect. ProbCalc computes this probability.
A probability calculator has the advantage (over tables) of being able to calculate precise p (pobability) values for any given experimental (i.e., statistical) result. There are more comprehensive probability calculators available for Windows based computers but this is the first (I believe) for a PPC.
ProbCalc also computes the degree of relationship between the independent and dependent variables in the experiment (for t and F tests). For the example, this would be the relationship between the drug and the outcome on the IQ test. When squared, Eta (the relationship statistic computed by ProbCalc) can be interpreted as the percentage of explained variance. So if, for example, Eta = .40 for the current example, you could concluded that 16% of the observed variance in IQ scores could be explained by the drug.
The advantage of having a portable version available is that one can use it in the library when reading the research literature (yeah, I know the library is not the real world . . .). Many authors do not report effect size (relationships) and only report whether the experiment was statistically significant (P<.05, for example). I have seen MANY published research reports with very strong conclusions that were based on research with a very small Eta. In other words, an experiment can be statistically significant without being practically significant. ProbCalc is an extremely useful tool for putting published research into a real word context -- and it takes just seconds.
Hope I didn't bore you too much.