This lesson describes some refinements to the hypothesis testing approach that was introduced in the previous lesson. The truth of the matter is that the previous lesson was somewhat oversimplified in order to focus on the concept and general steps in the hypothesis testing procedure. With that background, we can now get into some of the finer points of hypothesis testing.
Don't be caught in your skivvies when you talk about CV's, or confuse STD's with SD's. Do you know what they mean when they talk about mean? These are the bread and butter statistical calculations. Make sure you're doing them right.
When you compare monthly QC data or perform initial method validation experiments, you do a lot of mean comparison. Dr. Madelon F. Zady, Ph.D., talks about the means of means and other important statistical calculations.
Dr. Madelon F. Zady, Ph.D., talks about the nature of a relationship (correlation) and the strength of a relationship (regression). These are statistical relationships, of course. For other forms of relationship advice, we suggest you consult the webmaster or another website entirely.
How a coin toss relates to laboratory testing. How z-scores can help us find probabilities. And how that bell-shaped curve came to be.
Dr. Zady introduces all the terms of statistics. If you don't know your t-tests from your F-tests, this is a painless place to start.
Madelon F. Zady, Ph.D., begins a series on statistics. This first lesson is easy. All she does is explain the best way to learn about statistics (without falling asleep).