Hypothesis Testing

A statistical method used to make decisions about the validity of a hypothesis based on sample data.

A statement that there is no effect or no difference, and it serves as the default assumption in hypothesis testing.

A statement that indicates the presence of an effect or a difference, opposing the null hypothesis.

The probability of obtaining the observed results, or more extreme, assuming that the null hypothesis is true.

It means that the evidence suggests that the null hypothesis is unlikely to be true, leading to support for the alternative hypothesis.

The threshold probability for rejecting the null hypothesis, commonly set at 0.05.

The error made when the null hypothesis is true but is incorrectly rejected.

The error made when the null hypothesis is false but is incorrectly failed to be rejected.

It indicates strong evidence against the null hypothesis, leading to its rejection.

It indicates insufficient evidence to reject the null hypothesis.