The aim of this course is to provide students with a fundamental understanding of statistical concepts, data collection and sampling principles, and methods for organizing, summarizing, and interpreting data. Within the scope of the course, students are expected to develop the ability to present research data using frequency tables and graphical methods, calculate and interpret measures of central tendency and variability, understand the basic principles of probability and probability distributions, and evaluate relationships among variables through chi-square tests, correlation analysis, and simple linear regression analysis. The course also aims to equip students with the skills necessary to analyze data from a statistical perspective, interpret results accurately, and utilize statistical information effectively in scientific research and professional decision-making processes.

1. Basic concepts of statistics, its scope, and applications in agricultural sciences. 2. Types of variables, levels of measurement, concepts of population and sample, and sampling methods. 3. Organizing data and presenting it using frequency tables and graphs. 4. Examination of measures of central tendency (arithmetic mean, median, mode, geometric mean, and harmonic mean) and measures of variability. 5. Characteristics of data distributions, and evaluation of the concepts of skewness and kurtosis. 6. Basic principles of probability theory, applications of permutations and combinations, and an introduction to probability distributions. 7. Application and interpretation of discrete probability distributions (Binomial, Hypergeometric, and Poisson) and Chi-square (?²) tests. 8. Examination and interpretation of relationships between variables using correlation and linear regression analyses.