Base Factor Analysis 4 Android

The application Base Factors Analysis for Android consists three components, one is processing samples of random variables; the secondis factorization of correlation matrix; and the third calculator for the known statistical distributions. The application Base Factor Analysis can store only one correlation matrix. Another application - FactorAnalysis has the same features but can store a lot of correlation matrices.

Component processing samples of random variables is designed to store (edited, deleted, renamed) samples of random variables, to calculate their basic statistical characteristics as the: -average value; - standard deviation; - skewness and kurtosis; - to calculate confidence intervals of the average value; - variance and standard deviation; - check whether the sample is from normal or uniformly distributed random variable using criterion of Pearson; - check whether the sample is from normal, uniformly and exponentially distributed random variable using criterion of Kolmogorov-Smirnov; - and zero skewness and kurtosis; - determined histogram of sample; - function testing of hypotheses related to the mean and standard deviation; and other.
The application has function for smooth distributions, this includes assets for visualization adjusted( smooth) distributions related to the sample, not excluded from the Pearson's and Kolmogorov-Smirnovr's criteria.
In the component Factors Analysis for correlation matrix factorization applies two known methods: main components (Pearson, 1901 and Hoteling, 1933); and - the main factors (Spearman, 1904 1926). A correlation matrix can be obtained by treatment of data with functions of the application, or by entering or importing into the application of ready-correlation matrices.
Samples, results of processing and histogram can be saved in database (Sqlit). Tables with these data can be exported, imported and sending for saving and printing for example, by means of Sqlit browser..
The application has localization for: English, Bulgarian, French and German.