P-Values Q&A
What does the p-value summarize? - (correct answer)The p-value summarizes the
evidence provided by the sample against the null hypothesis.
What is a p-value? - (correct answer)A p-value is the probability of seeing a simple
statistic value as extreme or more extreme than the one observed in the sample, if the
null hypothesis is true.
A small p-value provides what kind of evidence against the null? - (correct answer)The
closer the p-value is to zero the stronger the evidence is against the null hypothesis
leading us to reject the null hypothesis.
A small p-values relationship with type I errors? - (correct answer)The smaller the p-
value the stronger the evidence against the null and the smaller the chance of making a
type I error.
A large p- values relationship with type II errors? - (correct answer)A large p-value
means we have little evidence against the Null, leading us to fail to reject Ho. Increasing
the chance of making a type I error.
Significance Level and P-value (1) - (correct answer)If the p-value is less than or equal
to the significance level we conclude Ha is proven and Ho is rejected.
Significance Level and P-Value (2) - (correct answer)If the p-value > the significance
level we cannot conclude Ha and we fail to reject Ho.
What does the p-value summarize? - (correct answer)The p-value summarizes the
evidence provided by the sample against the null hypothesis.
What is a p-value? - (correct answer)A p-value is the probability of seeing a simple
statistic value as extreme or more extreme than the one observed in the sample, if the
null hypothesis is true.
A small p-value provides what kind of evidence against the null? - (correct answer)The
closer the p-value is to zero the stronger the evidence is against the null hypothesis
leading us to reject the null hypothesis.
A small p-values relationship with type I errors? - (correct answer)The smaller the p-
value the stronger the evidence against the null and the smaller the chance of making a
type I error.
A large p- values relationship with type II errors? - (correct answer)A large p-value
means we have little evidence against the Null, leading us to fail to reject Ho. Increasing
the chance of making a type I error.
Significance Level and P-value (1) - (correct answer)If the p-value is less than or equal
to the significance level we conclude Ha is proven and Ho is rejected.
Significance Level and P-Value (2) - (correct answer)If the p-value > the significance
level we cannot conclude Ha and we fail to reject Ho.
