What is the largest risk of making a Type I error that social scientists will usually take?
A) 5% chance
B) 68% chance
C) 95% chance
D) 99.7% chance

Question

Quizplus · Accepted Answer

Social scientists typically use a significance level of 0.05 (5%) to determine whether to reject the null hypothesis and accept the alternative hypothesis. This means that there is a 5% chance of making a Type I error, which is the largest risk that they typically take.

What Is the Largest Risk of Making a Type I