Based on prof. Howard Bowman Professor of Cognitive Neuroscience in Psychology and Computer Science at the University of Birmingham, the type one error rate for two tests is, 0.05 + (0.05*0.95) The formula for three, for any alpha, is alpha + alpha*(1-alpha) + alpha * (1-(alpha*(1-alpha)))
@PSYCHOLOGYNATUREUNIVERSE
4 жыл бұрын
thank you again for your great work and lovely channel..keep it up brother and bless you.
@SocratGhadban
4 жыл бұрын
Thank you for your continuous support! I'm glad that you liked it!
@shortandsweet2767
Жыл бұрын
The Bonferroni correction is an adjustment made to P values when several dependent or independent statistical tests are being performed simultaneously on a single data set. Please explain what is the meaning of "single data set" there....second thing can you tell me clear assumptions of Bonferroni's correction please...
@SocratGhadban
10 ай бұрын
The Bonferroni correction is applicable to both independent and dependent tests, as it is primarily concerned with controlling the overall risk of Type I errors when multiple tests are conducted. It accomplishes this by adjusting the significance level (alpha) for each individual test to make it more stringent, thus reducing the chance of making a Type I error across all tests. Independent Tests: When multiple independent statistical tests are applied to a single dataset, each test examines different aspects or characteristics of the data, and the tests are not influenced by one another. For example, testing whether the mean age of a group is different from a specific value and simultaneously testing whether the variance of the same group is different from another specific value
@shortandsweet2767
9 ай бұрын
@@SocratGhadban Thanks Sir for your reply but is this will not increase the risk of type error, please make your valuable comment ...
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