This course aims to; To learn practical techniques for quantitative data analysis and interpretation by using statistical software (SPSS etc.) Find the literature you need to do research on a particular topic, data collection, data evaluation and report writing techniques

Basic concepts of statistics (variables and types, parametric and non-parametric tests, average, standard deviation, normal distribution, skewness and kurtosis, standard errors and confidence intervals of the measurement), Recognition SPSS and data editing, obtaining descriptive statistics with SPSS, graphing and tabulation descriptive statistics with SPSS, t test for independent samples, t test for related samples, One-way analysis of variance for independent samples , Two-way analysis of variance for independent samples, one way multivariate analysis of variance, analysis of covariance, relational analysis and regression analysis