| ÖÇ1 | Defines the fundamental concepts of statistics (population, sample, parameter, statistic) and applies them to financial data sets. |
| ÖÇ2 | Summarizes and interprets financial data using appropriate tables and graphs (histogram, box plot, bar chart). |
| ÖÇ3 | Calculates measures of central tendency (mean, median, mode) and variability (variance, standard deviation, range) and uses them in financial risk and return analysis. |
| ÖÇ4 | Applies the rules of probability and conditional probability to topics such as insurance risk calculation and credit default probability. |
| ÖÇ5 | Defines discrete and continuous random variables, the concepts of expected value and variance, and uses distributions in finance and insurance (Binomial, Poisson, Normal). |
| ÖÇ6 | Explains sampling distributions and the Central Limit Theorem and interprets them as the basis of statistical inference. |
| ÖÇ7 | Estimates financial parameters (average loan amount, average insurance benefit) using point and interval estimation methods (confidence intervals). |
| ÖÇ8 | Establishes the hypothesis testing structure; performs hypothesis tests (z-test, t-test) regarding ratios and means using statistical software and interprets the results. |
| ÖÇ9 | Performs correlation and simple linear regression analysis, models the relationship between two financial variables, and interprets them for risk management. |
| ÖÇ10 | Enters data, performs basic analyses, and reports outputs using statistical software (SPSS, Excel Data Analysis, R, or similar). |