| Lesson Code | Course Name | Class | Credit | Lesson Time | Weekly Lesson Hours (Theoretical) | Weekly Lesson Hours (Practice) | Weekly Class Hours (Laboratory) |
|---|---|---|---|---|---|---|---|
| UI 4387 | Applied Statistics | төртінші курс | 5 | 150 | 15 | 30 |
The discipline comprehensively acquaints students with the basic concepts, results and a number of the most important examples and tasks of modern applied statistics from a practical point of view. At the same time, in the course of presenting the subject material, it teaches to solve problems related to basic actuarial mathematics. Students practice solving problems on the technique of applying the methods of applied statistics.
Presentation, exchange of views, discussion, problematic questions, situational questions.
For students with disabilities, together with structural divisions, the teaching methods, forms, type of control and amount of time for the implementation of specialized adaptive disciplines (modules) can be changed by the subject teacher.
| 1 | Apply the theoretical knowledge gained in fundamental mathematics to the description of processes and phenomena in various fields of mathematics (LO6); |
| 2 | Solves the problem, correctly setting the performances of classical problems of fundamental mathematics;(LO 9); |
| 3 | Uses theoretical and mathematical-statistical methods in the study of problems in various areas of mathematics; (LO10); |
| 4 | - Competently solves with the help of computer programs when solving practical problems in various areas of mathematics(LO11); |
| Haftalık Konu | Evaluation Method | |
|---|---|---|
| 1 | Data and their types.Preliminary data analysis.Selective method.The main set and selection. Statistical distribution of the sample.Quantitative characteristics of the sample.Confidence interval.Normal (Gaussian) distribution | презентация |
| 2 | Errors made during the verification of statistical assumptions.Statistical criteria and their types | презентация |
| 3 | Numerical data: two independent groups. T-criterion of unpaired or independent (two-selective) Studentes. Fisher's criterion F (comparison of two variances; F-test).Mann-Whitney U criterion (Mann-Whitney U test) | Жазбаша |
| 4 | Quantitative data: two dependent groups.Steudent paired t-criterion. | Жазбаша |
| 5 | Wilcoxon's criterion for T - digit ranks.(Wilcoxon test) | Жазбаша |
| 6 | Z character criterion. | презентация |
| 7 | Numerical data: more than two groups. Variance analysis. One-factor variance analysis.The method of conducting variance analysis.Cochren's criterion for comparing variances of several normally distributed headsets | презентация |
| 8 | Comparison of multiple groups: Kruskal-Wallis criterion. | презентация |
| 9 | Two independent groups: Pearson's Chi-square criterion. Fisher's exact criterion (Fisher's exact test) | презентация |
| 10 | Two dependent groups: MC Nimar (Mc Nemar) criterion. | Жазбаша |
| 11 | More than two groups. Pearson's Chi-square criterion: large homogeneity tables. | Жазбаша |
| 12 | Viability analysis.Censored and uncensored data. Assessment of viability. Kaplan-Meyer method. Viability curve. Confidence interval of vitality. Comparison of two Vitality curves. Logrange criterion (Log – rank.test). or a logarithmic rank criterion.Yates straightened up. | презентация |
| 13 | Correlation analysis. Pearson correlation coefficient. Statistical significance of the correlation.The criterion for verifying Pearson's assumption on the materiality of the correlation coefficient. | Жазбаша |
| 14 | Spearman's Rank Correlation Coefficient checking the assumption about the properties of Spearman's Rank Correlation Coefficient and the materiality of the correlation coefficient. | презентация |
| 15 | Regression analysis. Linear regression analysis. Regression equation. Linear regression equation. The least squares method. Evaluation of the significance of the coefficients of the regression equation. Evaluation of the quality of the regression equation. | Жазбаша |
| PÇ1 | PÇ2 | PÇ3 | PÇ4 | PÇ5 | PÇ6 | PÇ7 | PÇ8 | PÇ9 | PÇ10 | PÇ11 |
|---|
| Textbook / Material / Recommended Resources | ||
|---|---|---|
| 1 | Tokbergenov J. B., Yqtımaldyqtar teorıasy jáne matematıkalyq statısıka.Oqý quraly-Almaty: ATÝ, 2016. - 159 b. http:// rmebrk.kz E. D. Tileýkeev, Yqtımaldyqtar teorıasynyń mindetterin sheshý, oqý quraly, Túrkistan: Ahmet Esevı atyndaǵy Qazaq-Túrik ýnıversıteti.Turan Baspahanasy. 2020, -152 bet. | |
| 2 | Qoshanova M.d., Nazarova K. j., Tileýkeev E. D. Yqtımaldyqtar teorıasy jáne matematıkalyq statısıka elementteri boıynsha jeke tapsyrmalar jınaǵy, Túrkistan: Ahmet Esevı atyndaǵy Qazaq-Túrik ýnıversıteti.Turan Baspahanasy. 2020 -164 bet. | |
| 3 | Aqanbaı N., Yqtımaldyqtar men jattyǵýlar teorıasy boıynsha esepter jınaǵy.Oqýlyq.Ol ony almady. 'Qazaq ýnıversıteti' 2020. | |
| 4 | Aqanbaı N. Yqtımaldyqtar teorıasy jáne matematıkalyq statısıka: 1 bólim. Oqýlyq.2019 | |
| 5 | S. A. Joldasov, Yqtımaldyqtar teorıasy jáne matematıkalyq statısıka boıynsha esepter jınaǵy. Oqýlyq. Almaty: Evero-2023 | |
| 6 | E. D. Tileýkeev, 'Yqtımaldyqtar teorıasy jáne matematıkalyq statısıka' kýrsy boıynsha ádistemelik nusqaýlar, Túrkistan: Ahmet Esevı atyndaǵy Qazaq-Túrik ýnıversıteti.Turan Baspahanasy. 2017-101s. | |
| 7 | Tleýkeev E.D., Yqtımaldyqtar teorıasy jáne matematıkalyq statısıka, oqý quraly, Túrkistan,: Tagran baspahana.2018-214s. |