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 Basic Statistics  The basic statistics module is essential for a preliminary data analysis, as well as for a more detailed look at the data. Various tools from this module can also be used to test whether the data are consistent with assumptions needed for a successful application of other statistical methods. Some of the basic and common assumptions about data are: normality, independence and homogeneity. Therefore, no outliers and gross errors should occur in the data. Basic Statistics - Pdf manual Protocol: Classical parameters: Arithmetic mean, Lower limit, Upper limit, Variance, Standard deviation, Skewness, Difference from 0, Kurtosis, Difference from 3, Half-sum, Modus, t-test Robust parameters: Median, CI lower, CI upper, Standard deviation, Variance, 10% trimmed mean, 20% trimmed mean, 40% trimmed mean Runs test, Small sample analysis, Test for normality, Outliers detection, Homogeneity, Significance of autocorrelation, Sign test, Test for linear trend, Slope, mean and median smoother, Smoothed values, Residuals Plots: Histogram, QQ-graph, Jittered dot diagram, Probability density function, Boxplot, Autocorrelation, Trends, Quantile plot, PP-plot, Quantiles box plot, Half sum plot, Symmetry plot, Kurtosis plot, Circle plot

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 TBSA: Online registrace na 2.semestr 2022/2023 TBSA: Online registrace na 1.semestr 2022/2023

### TriloByte Statistical Academy

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