151-0703/01 – Statistics A ()
Gurantor department | Department of Mathematical Methods in Economics | Credits | 5 |
Subject guarantor | Fiktivní Uživatel | Subject version guarantor | RNDr. Matěj Turčan, Ph.D. |
Study level | undergraduate or graduate | Requirement | Compulsory |
Year | 1 | Semester | summer |
| | Study language | Czech |
Year of introduction | 2004/2005 | Year of cancellation | 2006/2007 |
Intended for the faculties | EKF | Intended for study types | Bachelor |
Subject aims expressed by acquired skills and competences
Teaching methods
Summary
It is the entrance course to the problems of probability and statistics. This
course provides the basic knowledge and ability to describe random processes in
economics, to make statistical investigation and formulate simple enclosures.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Statistics, Statistical Data – Classification, Collection, Data Sources,
Population Versus Sample, Stem and Leaf Diagram
2. Data Presentation, Set of Values of One Variable - Range, Frequency
Distribution, Cumulative, Relative, Relative Cumulative Frequencies and Its
Graphs
3. Descriptive Measures for One Dimensional Statistical Set of Data,
Exploratory Data Analysis
4. Algebra of Events, Concept of Probability
5. Probability Theory, Succession of Independent Events, Total Probability,
Bayes´ Rule
6. Random Variable (Types of Random Variables, Distribution Function,
Probability Function, Density Function) and Discrete
Probability Distributions (Uniform, Binomial, Hypergeometric, Pascal´s,
Poisson´s).
7. Continuous Probability Distributions (Uniform, Exponential, Normal,)
Approximation of Binomial Distribution
8. Statistical Inference, Sampling Theory, Limit Theorem, Estimation Theory
(Point Estimates, Interval Estimates)
9. Tests of Hypotheses, One Sample Parametric Tests for Mean and Variance
10. Bivariate Data and Correlation Analysis, Correlation Coefficient
11. Simple Linear Regression, Determination Coefficient
12. Time Series Analysis, Components, Combining the Components
13. Index Numbers, Price and Quantity Indexes
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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