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data preprocessing
   
descriptive and inferential statistics
   
multivariate analysis
   
regression models
   
data mining
   
time series analysis
   
psychometrics
   
statistical programming
Descriptive and inferential statistics

Descriptive statistics is the most simple but most important task in every data analysisi. Position indices (mean, median, percentiles, ...) and variability indices (standard deviation, range, ...) let you to syntetize the central tendency and the dispersion of big amount of data. Equally important is an adeguate graphical representation of analyzed variables.

About inferential and probabilistic statistics, StatisticalAdvisor may help you in the correct use of: confidence interval, hipothesis testing. Some example: test T, test X, test F, Barlett's Test, Kolmogorov - Smirnov Test, Mann-Witney Test, ANOVA, MANOVA, Chi - Square Test, Binomial Test, Signed Rank Test.We can help you in fitting distributions and in the simulation process.

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