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Curriculum subjectStatistics
| Subject |
| Subject code |
RKE090 |
| Subject name |
Statistics |
| Credit points |
4 ECTS |
| Grading method |
Exam |
|
| Curriculum subject |
| Curriculum |
2013 KT |
| Study year |
1 |
| Semester |
Spring semester |
| Subject type |
Optional |
|
|
Subject loads
|
| Practice |
48 |
|
| General description |
|---|
1. Population and sample, basic types of statistical variables, distributions.
2. Random and representative sample: arrangement of a sample, sampling distribution of a mean value of a sample (Central Limit Theorem).
3. Estimation of a population parameters: point and interval estimates, confidence interval, hypothesis tests about population parameters.
4. Estimation and hypothesis testing about two populations.
5. Relationship between two variables (simple linear correlation, regression analysis). |
|
| General aim |
|---|
| To provide deeper knowledges about methods of descriptive and inductive statistics and to develop practical skills related to the corresponding topics. |
|
| Aim |
|---|
After completing this course the student
-is able to describe different types of statistical variables;
-is abel to organize and graph qualitative and quantitative statistical data;
-knows measures of central tendency and dispersion for group and ungroup data;
-is able to make decisions about characteristics of a population based on sample information;
-knows relationship between two variables (correlation);
-is able to use statistical functions integrated in MS Excel and MathCAD. |
|
| Form description |
|---|
| Classwork - lectures, practical sessions. Independent work - processing of lecture material, solving of excersises, preparation for tests and homework projects. |
|
| Literature |
|---|
1. H. Aruküla, Abiks majandusmatemaatika õppijaile VI, Matemaatiline statstika, TTÜ, 1992.
2. K. Hiob, Matemaatiline statistika. Algkursus koolidele, Avita, 1995.
3. H. Käerdi, Statistika ja tõenäosusteooria alused, 1997.
4. K. Keres, Levin, Matemaatiline stastistika. Ülesannete kogu, 2006.
5. A.-M. Parring, M. Vähi, E. Käärik, Statistilise andmetöötluse algõpetus, TÜ, 1997.
6. Prem S. Mann, Introductory Statistics, Wiley, NY, 2006.
7. I. Tammeraid, Tõenäosusteooria ja matemaatiline statistika, TTÜ, 2004. |
|
| Evaluation methods |
|---|
| test, portfolio, group work, home project, exam. |
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| Name of the e-learning course at Moodle environment (http://ekool.tktk.ee) |
|---|
| Reaalainete keskus: Statistika |
|
| Current rounds |
|---|
| None |
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