Chapter 14: Nested and Split-Plot Designs
In a certain experiments, the level of one factor (e.g., factor B) are
similar but not identical for different levels of another factor (e.g.,
factor A). For example, if A is school and B is teacher, teacher 1
wil

Chapter 7: Blocking and Confounding
Factorial Design
in the
Inmanysituationsitisimpossibletoperformalloftherunsina2
factorialexperimentunderhomogeneousconditions.
Inothercases,itmightbedesirabletodeliberatelyvaryexperimental
conditionstoensurethatthetreat

Solutions from Montgomery, D. C. (2012) Design and Analysis of Experiments, Wiley, NY
Chapter 3
Experiments with a Single Factor: The Analysis of Variance
Solutions
3.2. An experimenter has conducted a single-factor experiment with six levels of the facto

Chapter 25: Analysis of Variance
ANalysis Of VAriance (ANOVA) is used for comparing several
population means. In fact, we used ANOVA for testing the null
hypothesis
:
, for some
2.
1
Consider the null hypothesis
2.
:
, for some
When comparing of several

Chapter 21: Comparing Two Population Means
We will compare two population means in this chapter. In
particular, we will talk about:
The difference between independent and dependent samples,
Hypothesis tests and confidence intervals of means for two
indepe

Chapter 1: Introduction
We will discuss, in this chapter, some basic concepts for
experimental design such as:
Response
Factor
Replicates
Randomization
1
Blocking
Definition: An experiment is a scientific procedure undertaken to
make a discovery or to det