Notice
5 Power and beta risk
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Descriptif
After a reminder of the risk of rejecting H0, while H0 is true (alpha risk), the risk of not rejecting H0 while H1 is true (beta risk or second species) is explained.
The complement to 1 of this beta risk is the Power of the test which is explained by comparing it to the visual power when we observe a double star with the naked eye or use a pair of binoculars. Viewers are reminded that the Power of the test must be anticipated before the study.
Thème
Avec les mêmes intervenants et intervenantes
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1 Distribution of multiple sample values
GayFrédérickSamples, Normal Distribution, Average of a population, p-value
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1 Distribution des valeurs de multiples échantillons
GayFrédérickEchantillons, Distribution Normale, Moyenne d’une population, p-value
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2 Does a sample come from this population?
GayFrédérickComparison of a sample to a norm, Null hypothesis (HO), Alternative hypothesis (H1), Alpha risk, p-value
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2 Un échantillon provient-il de cette population ?
GayFrédérickComparaison d’un échantillon à une norme, Hypothèse nulle (HO), Hypothèse alternative (H1), Risque alpha, p-value
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3 Deux échantillons proviennent-ils ou pas de la même population ?
GayFrédérickComparaison de 2 échantillons, Hypothèse nulle (H0), Hypothèse alternative (H1), Risque alpha, p-value
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3 Do two samples come from the same population or not?
GayFrédérickComparison of 2 samples, Null hypothesis (H0), Alternative hypothesis (H1), Alpha risk, p-value
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4 How do you make hypotheses ?
GayFrédérickHypothesis test, Null hypothesis (H0), Alternative hypothesis (H1), Alpha risk, p-value, Bilateral test, Unilateral test
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4 Comment poser ses hypothèses ?
GayFrédérickTest d’hypothèse, Hypothèse nulle (H0), Hypothèse alternative (H1), Risque alpha, p-value, Test bilatéral, Test unilatéral
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6 Comment se présentent vos données ?
GayFrédérickIndividus statistiques, Variables, Types de variable, Tableau individus-variables, Tableau de contingence
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6 How does your data look?
GayFrédérickStatistical individuals, Variables, Variable types, Individual-variable table, Contingency table
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7 Validity of a diagnostic test in every day life
GayFrédérickDiagnostic test, Intrinsic validity, A priori validity, Sensitivity, Specificity
