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Statistics

A collection of articles on descriptive and inferential statistics: Basic Statistics ( Definition of Statistics, Population and Sample, Variables and Data, Variable Measurement Scale ); Descriptive Statistics ( Definition of Descriptive Statistics, Size of Data Concentration, Size of Spread, Examples of Skewness and Kurtosis Calculations, Frequency Distribution ); Data Exploration ( Explorative data analysis, Stemplot, Knowing Box-Plot ); Correlation and Regression; Student 's t-test ( student t-test, 2-population t-test with homogeneous variance, 2-student t-test with heterogeneous variance, Paired t-test ); and some Non-Parametric tests (McNemar test, Wilcoxon test for paired data )

Paired t-test ( paired t-test ) is one method of testing the hypothesis where the data used is not independent which is characterized by the existence of a value relationship in each of the same samples ( pairs ).). The characteristics that are most often found in paired cases are that one individual (object of research) is subjected to 2 different treatments. Although using the same individual, the researchers still obtained 2 kinds of sample data, namely data from the first treatment and data from the second treatment. The first treatment may be in the form of control, which is not giving any treatment at all to the object of research. 

Example of manual Wilcoxon Test calculation..

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