The alternative hypothesis typically assumes that observed data does not occur by chance. The alternative hypothesis is a statement that contradicts the null hypothesis. It is accepted as true only if there is convincing evidence for it.
Significance level is the threshold at which a result is considered statistically significant. It is also the probability of rejecting a null hypothesis when it is true.
P-value refers to the probability of observing results that are at least as extreme as those observed when the null hypothesis is true.
This scenario describes a type I error. A type 1 error, also known as a false positive, occurs when a null hypothesis is rejected that is actually true.
Fill in the blank: The _____ typically assumes that observed data does not occur by chance.
How confident are you in this answer?