Tools, Technologies and Training for Healthcare Laboratories

Z-9: Truth or Consequences for a Statistical Test of Significance

How much power does a statistical test have? What do the results of a statistical test mean? Dr. Zady weighs in on this matter and gives you guidance on how you should weigh the results of your tests.

Z-8: Two-Sample and Directional Hypothesis Testing

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.

Z-7: Hypothesis Testing, Tests of Significance, and Confidence Intervals

Hypothesis testing, tests of significance, and confidence intervals - here are three more statistical terms that strike fear in the hearts of many laboratory scientists! If you survived the previous lesson on probability, then you can also get through this lesson. The ideas presented here will be very helpful in making good decisions on the basis of the data collected in an experimental study.

Z-6: Probability and the Standard Normal Distribution

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.

Z-5: Sum of Squares, Variance, and the Standard Error of the Mean

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.