Handout 9
Odds
odds are related to probabilities but are
not probabilities
e.g. gambling odds
odds against winning (odds of losing)
suppose odds against winning are
6/4=1.5 (6:4)
6
6
probability of losing is 6+4 = 10 = 0.6
probability of winning is 0.4
Handout 6
One-Way Analysis of Variance
provides method to test whether several
population means are equal
Example - Cadmium in streams
5 streams compared
50 water specimens sampled from each
stream
concentration of cadmium in each
measured
Are there
Handout 2
Inference for a Single Proportion
What proportion of parents believe they
are under more stress than their
grandparents were?
Choose a SRS of size n and record the
count, X, of number of successes
p = X estimates population proportion, p
n
X
Handout 8
Factorial Experiments
Two-Way Analysis of Variance
population means classied in two ways
two-factor experiments
advantages:
more ecient
further reduction in residual variation
main eects for each factor can be
investigated
the interaction
Handout 5
Inference for Linear Regression
Does calcium aect blood pressure?
response variable (y) is blood pressure
change
explanatory variable (x) is amount of
calcium
population regression line
y = 0 + 1 x
1 is change in y when x increases by 1
un
Handout 3
Two-Way Tables
2 or more categorical variables
Is there a relationship between the
two variables?
simplest is 2 x 2 table; each variable has 2
levels
extends to r x c tables
form cells (each with counts)
some variables are inherently categ
Handout 7
Randomized Complete Block Designs
(RCBD)
distinguish from Completely Randomized
Designs (CRD)
for RCBD, rst group experimental units
into blocks which are similar
1
Comparing Diets for Weight Reduction in
Males
compare 3 diets (treatments)
D
Handout
4
Review: Relationships Between Two
Quantitative Variables
scatterplots
look at form, direction and strength
look for deviations from the pattern
(outliers)
form: is the pattern linear?
direction: positive versus negative
association
correla
Review: One-Sample t Test
Example - Personal use of company
technology
management consultant believes workers
spend 75 minutes per day making
personal use of company technology
CEO of large corporation wants to
investigate whether or not this is true fo
Day/Time/Location:
Instructor:
Teaching Assistants (TA):
Resources:
W
Date/Due date
Week 1
Jan 6
Jan 8
Jan 10
Week 2
Jan 13
Jan 15
Week-by-week plan for the course STAT 2090
Monday, Wednesday, Friday/ 3:30pm-4:20pm/ MACN, Room 105; Office hours*: Wednesda