What is the interpretation of the p-value in hypothesis testing? If the p-value is less than or equal to the chosen level of significance (α), we ...
What is the interpretation of the p-value in hypothesis testing?
If the p-value is less than or equal to the chosen level of significance (α), we reject the null hypothesis and conclude that the means are different.
If the p-value is greater than the chosen level of significance (α), we cannot reject the null hypothesis and conclude that the means are equal.
a. Only the first statement is correct.
b. Only the second statement is correct.
c. Both statements are correct.
d. Both statements are incorrect.
If the p-value is less than or equal to the chosen level of significance (α), we reject the null hypothesis and conclude that the means are different.
If the p-value is greater than the chosen level of significance (α), we cannot reject the null hypothesis and conclude that the means are equal.
a. Only the first statement is correct.
b. Only the second statement is correct.
c. Both statements are correct.
d. Both statements are incorrect.
💡 1 Resposta
Ed 
A interpretação do valor-p em um teste de hipótese é a seguinte: Se o valor-p for menor ou igual ao nível de significância escolhido (α), rejeitamos a hipótese nula e concluímos que as médias são diferentes. Se o valor-p for maior que o nível de significância escolhido (α), não podemos rejeitar a hipótese nula e concluímos que as médias são iguais. Portanto, a alternativa correta é a letra c) Ambas as afirmações estão corretas.
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