Non parametric tests: Theory and practice

The use of various statistical analyzes in many of the current scientific researches increases the quality of statistical science. Estimation method has an important place in statistics. Statistical estimation is expressed as testing hypotheses and estimating the main mass variables. Often, the researchers are interested in testing hypotheses. Accordingly, different statistical tests have been proposed to help the researchers decide the necessary hypotheses for the research questions. These tests are classified into two groups as parametric and nonparametric statistical tests. Where parametric methods cannot provide certain assumptions, non-parametric methods are used for analysis. Non-parametric tests are classification and sequencing tests. In this study, it has been tried to determine how nonparametric tests are used in different fields and applications according to data type. In the application, a survey was conducted to determine how the secondary school administrators working with the perception of servant leadership affect teachers' motivation. As a result of the analyzes, there were no significant differences between the scales and demographic characteristics. Keywords: Hypothesis Testing, Parametric Tests, Non-parametric Tests.