Chapter 5 Introduction to Factorial Designs
Section 5.1 One Factor at A Time (OFAT) Versus Factorial Design
Example: An experiment is run to determine the impact of temperature
baking (B) on taste of the resulting cake. Two levels of each factor
Chapter 3 Experiments with a Single Factor: The Analysis of Variance
Section 3.1 Single-Factor ANOVA (Fixed Effect Model)
Example: A drug company tests three pain relief medications for migraine headache
sufferers. 24 patients are randomly
Chapter 4 The Randomized Complete Block Design (RCBD)
Section 4.1 Introduction
Example 1: An experiment was conducted to compare six varieties of wheat, to see
which gave the highest yield.
Treatments: 6 varieties.
Response variable: the crop yield
Chapter 2 Simple Comparative Experiments
Section 2.1 Sampling Distributions
1. Basic Concepts
A random sample is a sample selected from the population in such a way that
every possible sample of the same size has an equal chance of being selected.
Chapter 1 Introduction to Design of Experiments
An experiment is a test or a series of tests in which changes are deliberately made to
the input variables of a process so that we may observe the effect of the changes
have on the response v