| 1 | Basic concepts, purpose of statistical science, applied statistical activities, statistical analysis and interpretation with some concepts. | |
| 2 | Data collection, classification, organization, tables, series, graphs and definitions of frequency distributions | |
| 3 | Representation of frequency distributions with series, reflection with graphs and sample solutions. | |
| 4 | Measures of central tendency (averages), analytic averages; definitions and formulas of arithmetic, geometric, harmonic, squared averages, solutions. | |
| 5 | Non-analytic averages; peak value, mode, median, median, median and quantiles, sample solutions. Comparisons of averages and relationships between them. | |
| 6 | Measures of central dispersion, mean and standard deviations, variance, coefficient of variation, skewness and kurtosis measures of the definition, formulas and sample solutions | |
| 7 | Definition of skewness and kurtosis measures, formulas and sample solutions | |
| 8 | Indices, types of indices, calculation methods of simple and compound time indices and sample solutions. | |
| 9 | Probability theory, basic concepts and properties, probability types and rules, permutation and combination formulas (applying Bayes' theorem), sample solutions. | |
| 10 | Sample solutions related to the distribution of probability function of random variables and probability table. | |
| 11 | Correlation concept, coefficient, linear correlation, co-variance, rank correlation, significance test and numerical examples of correlation analysis. | |
| 12 | Regression Definition of linear regression, regression coefficient formulas, least squares method, drawing the equation line and interpretation of the sample solution. | |
| 13 | Trend analysis Definition and analysis of time series, linear trend calculation methods, drawing trend graphs and sample applications. | |
| 14 | Applications, Use of statistical methods in data analysis and decision support processes for sustainability goals | |