A Type I error consists of
A) proposing an incorrect hypothesis.
B) concluding from your sample data that the independent variable had no effect on the dependent variable when, in the population, the independent does have an effect.
C) concluding from your sample data that the independent variable had an effect on the dependent variable when, in the population, the independent does not have an effect.
D) using the wrong statistical test to analyze your data.

Question

Quizplus · Accepted Answer

A Type I error occurs when the null hypothesis is incorrectly rejected, meaning that the conclusion is made that there is an effect (the independent variable had an effect on the dependent variable) when, in reality, there is no effect (in the population, the independent variable does not have an effect).

A Type I Error Consists of