Galton's problem, named after Sir Francis Galton, is the problem of drawing inferences from cross-cultural data, due to the statistical phenomenon now called autocorrelation. The problem is now recognized as a general one that applies to all nonexperimental studies and to experimental design as well. It is most simply described as the problem of external dependencies in making statistical estimates when the elements sampled are not statistically independent.Asking two people in the same household whether they watch TV, for example, does not give you statistically independent answers. The sample size, n, for independent observations in this case is one, not two. Once proper adjustments are made that deal with external dependencies, then the axioms of probability theory concerning statistica
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| - Galton's problem (en)
- Problem Galtona (pl)
- Проблема Гальтона (ru)
- Problema de Galton (pt)
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| - Galton's problem, named after Sir Francis Galton, is the problem of drawing inferences from cross-cultural data, due to the statistical phenomenon now called autocorrelation. The problem is now recognized as a general one that applies to all nonexperimental studies and to experimental design as well. It is most simply described as the problem of external dependencies in making statistical estimates when the elements sampled are not statistically independent.Asking two people in the same household whether they watch TV, for example, does not give you statistically independent answers. The sample size, n, for independent observations in this case is one, not two. Once proper adjustments are made that deal with external dependencies, then the axioms of probability theory concerning statistica (en)
- Проблема Гальтона, названная в честь сэра Фрэнсиса Гальтона, представляет собой проблему выведения заключений из кросс-культурных данных на основании статистического феномена, известного на сегодняшний день как сетевая автокорреляция. В настоящее время проблема признается проблемой общего характера, которая применяется ко всем неэкспериментальным исследованиям, а также к экспериментальному проектированию. Ее можно наиболее просто описать как проблему внешних зависимостей при проведении статистических расчетов, когда отобранные элементы не являются статистически независимыми. Если вы спросите двух людей в одном доме, например, о том, смотрят ли они телевизор, вы не получите статистически независимых ответов. Размер выборки, n, для независимых наблюдений в данном случае, это один, а не два. (ru)
- O problema de Galton, que leva o nome de Sir Francis Galton, é o problema de fazer inferências a partir de dados transculturais, devido ao fenômeno estatístico agora chamado de autocorrelação. O problema é agora reconhecido como geral e que se aplica a todos os estudos não experimentais e também a projetos experimentais. É simplesmente descrito como o problema de dependências externas ao fazer estimativas estatísticas quando os elementos amostrados não são estatisticamente independentes. Perguntar a duas pessoas na mesma casa se elas assistem TV, por exemplo, não dá respostas estatisticamente independentes. O tamanho da amostra, n, para observações independentes neste caso é um, não dois. Uma vez que os ajustes apropriados sejam feitos para lidar com dependências externas, os axiomas da te (pt)
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| - Galton's problem, named after Sir Francis Galton, is the problem of drawing inferences from cross-cultural data, due to the statistical phenomenon now called autocorrelation. The problem is now recognized as a general one that applies to all nonexperimental studies and to experimental design as well. It is most simply described as the problem of external dependencies in making statistical estimates when the elements sampled are not statistically independent.Asking two people in the same household whether they watch TV, for example, does not give you statistically independent answers. The sample size, n, for independent observations in this case is one, not two. Once proper adjustments are made that deal with external dependencies, then the axioms of probability theory concerning statistical independence will apply. These axioms are important for deriving measures of variance, for example, or tests of statistical significance. (en)
- Проблема Гальтона, названная в честь сэра Фрэнсиса Гальтона, представляет собой проблему выведения заключений из кросс-культурных данных на основании статистического феномена, известного на сегодняшний день как сетевая автокорреляция. В настоящее время проблема признается проблемой общего характера, которая применяется ко всем неэкспериментальным исследованиям, а также к экспериментальному проектированию. Ее можно наиболее просто описать как проблему внешних зависимостей при проведении статистических расчетов, когда отобранные элементы не являются статистически независимыми. Если вы спросите двух людей в одном доме, например, о том, смотрят ли они телевизор, вы не получите статистически независимых ответов. Размер выборки, n, для независимых наблюдений в данном случае, это один, а не два. После внесения надлежащих регулировок, это уже будет касаться внешних зависимостей, а затем будут применяться аксиомы теории вероятностей относительно статистической зависимости. Такие аксиомы важны для установки критериев изменчивости (например) или проверки статистической значимости. (ru)
- O problema de Galton, que leva o nome de Sir Francis Galton, é o problema de fazer inferências a partir de dados transculturais, devido ao fenômeno estatístico agora chamado de autocorrelação. O problema é agora reconhecido como geral e que se aplica a todos os estudos não experimentais e também a projetos experimentais. É simplesmente descrito como o problema de dependências externas ao fazer estimativas estatísticas quando os elementos amostrados não são estatisticamente independentes. Perguntar a duas pessoas na mesma casa se elas assistem TV, por exemplo, não dá respostas estatisticamente independentes. O tamanho da amostra, n, para observações independentes neste caso é um, não dois. Uma vez que os ajustes apropriados sejam feitos para lidar com dependências externas, os axiomas da teoria da probabilidade relativos à independência estatística serão aplicados. Esses axiomas são importantes para derivar medidas de variância, por exemplo, ou testes de significância estatística. (pt)
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