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The app is designed to store (edited, deleted) many samples of random variables
The app is designed to store (edited, deleted, renamed) many 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. Results of processing and histogram can be saved in database (Sqlit) . Tables with these data can be saving or sending by Internet. The app is designed to store (edited, deleted, renamed) many samples of random variables, and to calculate their basic statistical characteristics. The application has functions for calculating probability statistical distributions when are set certain parameters. app is designed to store many samples of random variables calculate -average value, - standard deviation, - skewness and kurtosis; calculate confidence intervals of the average value; check whether the sample is from normal or uniformly distributed random variable using criterion of Pearson; nd Kolmogorov-Smirnovr's criteria determined histogram of sample; testing of hypotheses related to the mean and standard deviation; and other calculating cumulative probability or random variable results data can be exported and sending by Internet create, delete and selection of a folder for storage data results standard, average, hypotheses, testing, deviation, kurtosis, Processing, Variables, histogram random samples skewness value probability statistical distributions