public:rem4:rem4-15:t-tests_and_linear_models
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| public:rem4:rem4-15:t-tests_and_linear_models [2015/10/12 10:48] – thorisson2 | public:rem4:rem4-15:t-tests_and_linear_models [2024/04/29 13:33] (current) – external edit 127.0.0.1 | ||
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| | What Does p<0.005 Mean? | David Colquhoun says: If there were actually no effect (if the true difference between means were zero) then the probability of observing a value for the difference equal to, or greater than, that actually observed would be p=0.05. In other words there is a 5% chance of seeing a difference at least as big as we have done, by chance alone. | | What Does p<0.005 Mean? | David Colquhoun says: If there were actually no effect (if the true difference between means were zero) then the probability of observing a value for the difference equal to, or greater than, that actually observed would be p=0.05. In other words there is a 5% chance of seeing a difference at least as big as we have done, by chance alone. | ||
| - | | The number will be right only if all the assumptions made by the test were true | One of the assumptions is that the measurements are truly randomized -- that there is no relationship between the measurements | + | | The number will be right only if all the assumptions made by the test were true | One of the assumptions is that the measurements are truly randomized -- that there is no relationship between the measurements of the dependent |
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/var/www/cadia.ru.is/wiki/data/attic/public/rem4/rem4-15/t-tests_and_linear_models.1444646903.txt.gz · Last modified: 2024/04/29 13:32 (external edit)