Chapter 8 : Inferences for Two Samples
In previous chapters, we had only one sample and we wanted to see whether
its mean or variance might be above or below a certain value. In Chapter
8 we compare statistics from 2 populations, and we want to know wheth

Chapter 9 Notes, Part 1 - Inference for Proportion and Count Data
We want to estimate the proportion p of a population that have a specic attribute, like
what percent of houses in Cambridge have a mouse in the house?
We are given X1 , . . . , Xp where Xi

Chapter 7 Notes - Inference for Single Samples
You know already for a large sample, you can invoke the CLT so:
X N (, 2 ).
Also for a large sample, you can replace an unknown by s.
You know how to do a hypothesis test for the mean, either:
calculate z

Chapter 11 : Multiple Linear Regression
We have:
height weight . . . age
person 1:
person 2:
:
x11
x21
x12
x22
.
.
x1k
x2k
amount of
lemonade purchased
y1
y2
where we assume
Yi = 0 + 1 xi1 + 2 xi2 + + k xik + ti
for i = 1, . . . , n and ti N (0, 2 ). The

Chapter 10 Notes, Regression and Correlation
Regression analysis allows us to estimate the relationship of a response variable
to a set of predictor variables
Let
x1 , x2 , xn
y1 , y2 , yn
be settings of x chosen by the investigator and
be the correspondi

Chapter 14 Nonparametric Statistics
A.K.A. distribution-free statistics! Does not depend on the population tting
any particular type of distribution (e.g, normal). Since these methods make
fewer assumptions, they apply more broadly. at the expense of a le