Notice
3 Do two samples come from the same population or not?
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Descriptif
In two samples, the question is whether or not they come from the same population. The starting hypothesis is the null hypothesis (H0), which considers that the 2 samples come from the same population. Therefore, the approach is to test this hypothesis before retaining (conserved H0) or rejecting it and concluding in favor of the alternative hypothesis (H1) according to which the 2 samples come from 2 distinct populations.
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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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