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3.1 Randomness | Basic Statistics | Probability | UvA

In this video Emiel explains the concept of randomness. You learn how humans deal with randomness and about the concepts of gambler's fallacy and apophenia. This course consists of seven modules and each module has several videos. To find the right module, go to our account @Research Methods and Statistics and click on Playlists, or view them below. MODULE 3: PROBABILITY 3.1 Randomness:    • 3.1 Randomness | Basic Statistics | P...   3.2 Probability:    • 3.2 Probability | Basic Statistics | ...   3.3 Sample space, event, probability and tree diagram:    • 3.3 Sample space, event, probability ...   3.4 Quantifying probabilities with tree diagram:    • 3.4 Quantifying probabilities with tr...   3.5 Basic set-theoretic concepts:    • 3.5 Basic set-theoretic concepts | Ba...   3.6 Practice with sets:    • 3.6 Practice with sets | Basic Statis...   3.7 Union:    • 3.7 Union | Basic Statistics | Probab...   3.8 Joint and marginal probabilities:    • 3.8 Joint and marginal probabilities ...   3.9 Conditional probability:    • 3.9 Conditional probability | Basic S...   3.10 Independence between random events:    • 3.10 Independence between random even...   3.11 More conditional probability, decision trees and Bayes' Law:    • 3.11 Conditional probability, decisio...   BASIC STATISTICS: MODULES 1. Exploring Data:    • Basic Statistics: Module 1   2. Correlation and Regression:    • Basic Statistics: Module 2   3. Probability:    • Basic Statistics: Module 3   4. Probability Distributions:    • Basic Statistics: Module 4   5. Sampling Distributions:    • Basic Statistics: Module 5   6. Confidence Intervals:    • Basic Statistics: Module 6   7. Significance Tests:    • Basic Statistics: Module 7   Follow our account @Research Methods and Statistics for more modules and courses!