Chap 10

Question 1

ANOVA

Answer 1

The analysis of variance, or more briefly ANOVA, refers broadly to a
collection of experimental situations and statistical procedures for the analysis
of quantitative responses from experimental units.

Question 2

The simplest ANOVA problem
is referred to variously as a single-factor, single-classification, or oneway
ANOVA.

Answer 2

It involves the analysis either of data sampled from more than
two numerical populations (distributions) or of data from experiments in which
more than two treatments have been used.

Question 3

the factor

Answer 3

The characteristic that differentiates
the treatments or populations from one another is called the factor under
study,

Question 4

the levels

Answer 4

the different treatments or populations are referred to as the levels
of the factor.

Question 5

Single-factor ANOVA…

Answer 5

Single-factor ANOVA focuses on a comparison of more than two population or
treatment means.

The relevant hypotheses are
H0: m1 5 m2 5…5 mI

versus
Ha: at least two the of the mi’s are different

Question 6

SST

Answer 6

Sum of Squares Total

Question 7

SSE

Answer 7

Sum of Squares Erros

Question 8

SSTr

Answer 8

Sum of Squares Total residuals

Question 9

Multiple COmparisons Procedure

Answer 9

A method for carrying out further analysis to know which of the mu’s are different from one another when we reject the H0 (Null Hypothesis).

Question 10

Tukey’s Procedure aka

Answer 10

the “T” method, student “T”’s method

Question 11

the “T” method is also known as…

Answer 11

Tukey’s procedure

Question 12

What does the Tuley method control?

Answer 12

Tukey’s method controls the simultaneous confidence level. (What does simultaneous mean though?)