Applied Statistic 1 - Android

The application AppliedStatistic1 is part of a group applications, unites them that work with a content provider. The group also includes applications: AppliedStatistic2, AppliedStatistic3 and AppliedStatistic4. All are used for processing samples( histograms) of random variables introduced by the application AppliedStatistic1. With such functions is the group BaseStatistic1, BaseStatistic2, BaseStatistic3 and BaseStatistic4.
The application AppliedStatistic1 is designed to store (edited, deleted, renamed) list of samples of random variables. Two types are of stored samples. One type is a histogram where for each importance of the random variable (X) is introduced and the number of observations (Y) of the random variable. The other type is only excerpts of the meanings of the random variable(X).
The list of samples of random variables is used by other applications in the group (AppliedStatistic2, AppliedStatistic3 and AppliedStatistic4) for calculation and storage of basic statistical characteristics as: sample size; minimum and maximum values; arithmetic mean of sample; mode of the sample; median of the sample; lower quartile of the sample;upper quartile of the sample; lower decil of the sample; upper decile of the sample; average absolute deviation of the sample; standard deviation of the sample - biased estimator; sample standard deviation - unbiased estimator; variance - biased estimator; sample variance - unbiased estimator; coefficient variance of the sample; range of variance of the sample; interquartile range of the sample; inter decile range of the sample; quartil deviation of the sample; decil deviation of the sample; sample skewness; sample kurtosis; check zero skewness is rejected or not rejected(small sample); check zero kurtosis is rejected or not rejected(small sample); normal distribution rejected or not rejected(small sample); check m-test:zero skewness rejected or not rejected(for large sample); check m-test:zero kurtosis rejected or not rejected(for large sample); check m-test: normal distribution rejected or not rejected(for large sample).
The application AppliedStatistic2 along with the calculation of the aforementioned basic statistical characteristics: has a function for testing hypotheses related to the mean and the standard deviation; function for building, visualized and storing a histogram of a sample; and calculating the tolerance limits for percentage of population with a given probability.
The application AppliedStatistic3 along with the calculation of the aforementioned basic statistical characteristics has a check for normal and uniform distribution on Pearson's criterion, the calculation of the confidence intervals for the mean, variance and standard deviation in two versions, the calculation of the limits of the percentage of population with a given probability. This application (AppliedStatistic3) has functions to calculate (vizoalized and storing) autocorrelation and forecasting of type time series samples.
The application AppliedStatistic4 along with calculations of the above basic statistical characteristics has a check for normal and uniform distribution according to Pearson's criterion, check whether the sample is normal, uniform, exponentially, truncated normal or reciprocal distributed random variable according Kolmogorov-Smirnov's criterion. This application (AppliedStatistic4) has functions to calculate (vizoalized and storing) of smooth distribution of these not rejected the relevant criteria. The application AppliedStatistic4 has component called distributions. Component Distributions is calculator for the known statistical distributions:
Normal distribution;
Chi-square distribution;
Student distribution;
Fisher distribution;
Poasson distribution;,
Binomial distribution;
Hypergeometric distribution;
Negative Binomial distribution;
Multinomial distribution;
Exponential distribution;
Kolmogorov distribution;
Truncated normal distribution;
U-quadratic distribution; and
Reciprocal.