Course Exam
051130 VO Introductory Statistics (2024W)
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Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Fr 11.10.2024 09:00 to Tu 21.01.2025 23:59
- Deregistration possible until Th 23.01.2025 23:59
Examiners
Information
Examination topics
Descriptive and Exploratory Statistics
Representation of Distributions
Empirical Distribution Function and Quantiles
Descriptive Measures of Location and Spread
Additional Measures (Skewness, Kurtosis)
Association, Correlation
Probability Theory
Fundamentals of Probability Theory
Event Algebra, Basic Problems of Combinatorics
Conditional Probability and Independence
Law of Total Probability
Bayes' Theorem
Random Variables
Important Discrete Distributions
Important Continuous Distributions
Chebyshev's Inequality
Law of Large Numbers
Central Limit Theorem
Techniques of Inferential Statistics
Point Estimators
Interval Estimators
Hypothesis Testing
Classical Tests for Normal Distribution
Simple Analysis of Variance
Test for Independence
Checking Distribution Assumptions
Non-parametric Testing Procedures
Monte Carlo Methods
Monte Carlo Integration
Importance Sampling Methods
Causality
Rubin's Potential Outcomes Framework
do{} Operator
Causal Bayesian Networks
Entropy
Shannon Entropy
Mutual Information
Stochastic Processes
Markov Chains
Ergodicity and Stationarity
Limit Distribution
Representation of Distributions
Empirical Distribution Function and Quantiles
Descriptive Measures of Location and Spread
Additional Measures (Skewness, Kurtosis)
Association, Correlation
Probability Theory
Fundamentals of Probability Theory
Event Algebra, Basic Problems of Combinatorics
Conditional Probability and Independence
Law of Total Probability
Bayes' Theorem
Random Variables
Important Discrete Distributions
Important Continuous Distributions
Chebyshev's Inequality
Law of Large Numbers
Central Limit Theorem
Techniques of Inferential Statistics
Point Estimators
Interval Estimators
Hypothesis Testing
Classical Tests for Normal Distribution
Simple Analysis of Variance
Test for Independence
Checking Distribution Assumptions
Non-parametric Testing Procedures
Monte Carlo Methods
Monte Carlo Integration
Importance Sampling Methods
Causality
Rubin's Potential Outcomes Framework
do{} Operator
Causal Bayesian Networks
Entropy
Shannon Entropy
Mutual Information
Stochastic Processes
Markov Chains
Ergodicity and Stationarity
Limit Distribution
Assessment and permitted materials
written exam
Minimum requirements and assessment criteria
50% of points in written exam
Last modified: Mo 03.02.2025 12:25