Peer reviewed
Direct linkERIC Number: EJ1166821
Record Type: Journal
Publication Date: 2018
Pages: 4
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0141-982X
EISSN: N/A
On Stochastic Dependence
Meyer, Joerg M.
Teaching Statistics: An International Journal for Teachers, v40 n1 p29-32 Spr 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, Mathematical Logic
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
