Introduction to Statistics
| Type of study | Bachelor |
|---|---|
| Language of instruction | English |
| Code | 470-2404/02 |
| Abbreviation | ZS |
| Course title | Introduction to Statistics |
| Credits | 4 |
| Coordinating department | Department of Applied Mathematics |
| Course coordinator | Ing. Martina Litschmannová, Ph.D. |
Subject syllabus
1) Introduction to Probability Theory
2) Conditonal probability, Bayes Theorem
3) Discrete random variable
4) Discrete probability distributions
5) Continuous random variable
6) Continous probability distributions
7) Random Vector
8) Exploratory data analysis - qualitative variable and two qualitative variables
9) Exploratory data analysis - quantitative variable
10) Exploratory data analysis - two quantitative variables (independent variables vs. paired data)
11) Introduction to statistical induction, Introduction to estimation theory
12) Introduction to hypothesis testing
13) One sample tests of mean and binomial test of proportion
2) Conditonal probability, Bayes Theorem
3) Discrete random variable
4) Discrete probability distributions
5) Continuous random variable
6) Continous probability distributions
7) Random Vector
8) Exploratory data analysis - qualitative variable and two qualitative variables
9) Exploratory data analysis - quantitative variable
10) Exploratory data analysis - two quantitative variables (independent variables vs. paired data)
11) Introduction to statistical induction, Introduction to estimation theory
12) Introduction to hypothesis testing
13) One sample tests of mean and binomial test of proportion
E-learning
Materials are available at https://lms.vsb.cz/?lang=en to students of the course.
Literature
[1] CRAWLEY, Michael J. Statistics: an introduction using R. Chichester, West Sussex, England: J. Wiley, c2005. ISBN 978-0470022986
[2] StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com
[2] StatSoft, Inc. (2013). Electronic Statistics Textbook. Tulsa, OK: StatSoft. WEB: http://www.statsoft.com
Advised literature
[1] Online Statistics Education: A Multimedia Course of Study (http://onlinestatbook.com/). Project Leader: David M. Lane, Rice University.