Free analysis program software for mac

ROC Analysis 1.5 is a very flexible and effective tool which graphs the Receiver Operating Characteristic (ROC) curve and calculates the Area Under the ROC Curve (AUC) using a nonparametric method.

MacParallel Analysis is a standalone Macintosh application that contains tables of eigenvalues produced by Monte Carlo simulations for determination of Parallel Analysis criteria.

For aeronautical students, engineers, RC hobbyists or anyone who loves airplanes,Airfoil Analysis offers the finest implementation of the classic Vortice-Panel method for airfoil analysis.
Main features:
- Arbitrary shapes
- NACA 4,5 digits airfoils.
- Up to 200 panels.
- Calculate aerodynamic coefficients.
- Plot angle of attack dependencies.
- Plot velocity and pressure fields.

Chi-Square Analysis is a standalone Macintosh application that calculates the chi-square statistic for 2x2 to 10x10 contingency tables. Also calculates the contingency, phi, and kappa statistics.

Mac ChiSquare Analysis calculates chi-square statistic as well as phi, contingency, and kappa coefficients from up to a 10 x 10 table.

The chi-square test is used to compare the distributions of two independent samples. It is used with data in the form of frequencies. It is a nonparametric procedure that makes no assumptions about distribution shapes, variances, or levels of measurement (Diekhoff, 1996).

The chi-square test evaluates the correspondence between the expected and the observed number of cases in each of the cells of the variable by variable contingency table (Thompson, 1988). It is a test of whether or not a null hypothesis of no association should be rejected between the two independent variables.

If the chi-square test shows that there is a relationship between the two variables, then the contingency coefficient gives an indication of the degree of the relationship. (Bruning & Kintz, 1997). The contingency coefficient is similar in meaning to the correlation coefficient.

Cramers phi coefficient is a measure of association that is also similar to a correlation coefficient. It can assume a value between 0 and +1. See Sheskin (2000) for further detail.

Kappa is calculated when the rows and columns are symmetrical. Kappa is often used to examine inter-observer agreement and reflects the amount of agreement beyond chance (Norman & Streiner, 2000).

Requirements: Mac OS X 10.4 or later.