hypothesis is a claim about a parameter that is assumed true until
proven otherwise. If the null hypothesis is false, the data supports
the alternative hypothesis.
When making a
decision, there are two types of errors. A Type I error is when a
true null hypothesis is rejected. A Type II error is when a false
null hypothesis is not rejected.
A p-value is
the chance that we obtained what we observed or something more
extreme in the direction of the alternative hypothesis if the null
hypothesis is true.
Introduction: Hypothesis Tests
Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.
The book includes five full length practice exams in addition to a full 15 chapters of review that is divided into the four major themes on the statistics test: Exploratory Analysis, Planning a Study, Probability, and Statistical Interference.
The book includes 2 full length practice tests with detailed answers and explanations, a full review of the subject material presented, and step-by-step techniques for cracking each type of statistical analysis question.