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...
3.2 Probability: • 3.2 Probability | Basi...
3.3 Sample space, event, probability and tree diagram: • 3.3 Sample space, even...
3.4 Quantifying probabilities with tree diagram: • 3.4 Quantifying probab...
3.5 Basic set-theoretic concepts: • 3.5 Basic set-theoreti...
3.6 Practice with sets: • 3.6 Practice with sets...
3.7 Union: • 3.7 Union | Basic Stat...
3.8 Joint and marginal probabilities: • 3.8 Joint and marginal...
3.9 Conditional probability: • 3.9 Conditional probab...
3.10 Independence between random events: • 3.10 Independence betw...
3.11 More conditional probability, decision trees and Bayes' Law: • 3.11 Conditional proba...
BASIC STATISTICS: MODULES
1. Exploring Data: • Basic Statistics: Modu...
2. Correlation and Regression: • Basic Statistics: Modu...
3. Probability: • Basic Statistics: Modu...
4. Probability Distributions: • Basic Statistics: Modu...
5. Sampling Distributions: • Basic Statistics: Modu...
6. Confidence Intervals: • Basic Statistics: Modu...
7. Significance Tests: • Basic Statistics: Modu...
Follow our account @Research Methods and Statistics for more modules and courses!