Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Intuition | 1 |
| Mathematical Logic | 1 |
| Probability | 1 |
| Randomized Controlled Trials | 1 |
| Statistical Analysis | 1 |
Source
| Teaching Statistics: An… | 1 |
Author
| Meyer, Joerg M. | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Descriptive | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkMeyer, Joerg M. – Teaching Statistics: An International Journal for Teachers, 2018
The contrary of stochastic independence splits up into two cases: pairs of events being favourable or being unfavourable. Examples show that both notions have quite unexpected properties, some of them being opposite to intuition. For example, transitivity does not hold. Stochastic dependence is also useful to explain cases of Simpson's paradox.
Descriptors: Intuition, Probability, Randomized Controlled Trials, Statistical Analysis
