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 application AppliedStatistic2 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 has and help - the formulas for calculating the above-mentioned statistical characteristics.
Samples, results of processing and histograms can be saved in database (Sqlit). Tables with these data can be exported by means of application AppliedStatistic1 for printing for example, by means of Sqlit browser.
In booting the application AppliedStatistic2 shows a list of samples introduced by AppliedStatistic1. So to work with application AppliedStatistic2, a prerequisite is installed application AppliedStatistic1, which creates the content provide.
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