On stochastic dependence |
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| Authors: | Joerg M. Meyer |
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| Affiliation: | Studienseminar Hameln, Hameln, Germany |
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| Abstract: | 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. |
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| Keywords: | Teaching statistics Stochastic independence Stochastic dependence Simpson paradox |
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