AP Statistics Terms & Definitions Practice Test

Question 1 of 3
50% Get this Question Right
Type II Error
An error that occurs when a researcher concludes that the independent variable had no effect on the dependent variable, when in truth it did; a "false negative" Source: CHH, 2 Ed.
Range of the middle 50 of the values; Q3-Q1 75th percentile - 25th percentile
Probability based on comparing the number of possible favorable outcomes to the number of total possible outcomes
Stating that the null hypothesis is false when it is in fact true.