HW 6 (Due on June 20)
Section 8.1
9, 11, 13
9.
a. R1 is most appropriate, because x either too large or too small contradicts p = .5
and supports p .5.
b. A type I error consists of judging one of the
Chapter9: Compare two populations
Here we consider the problem of comparing two population means and two
population proportions. (The book also covers comparison of two population variance
but we will
STA 226 Summer 2012
Final Exam
Name
Student ID
TheexamisgivenonTuesday,June26
This is a closed-book exam. Show all your work for full credits and keep your answers
brief and right to the point. Result
Ch 8. Hypothesis test based on single sample
Overview
Sometimes we want answers to specialized questions such as is
>
0 ? Here 0
is a specified value. This can be addressed in
terms of a hypothesis t
Chapter 7: Statistical Interval
Based on a Single Sample
Some Concepts
Chapter 6)
for
Point
Estimation
(Covered
in
Basic Properties of Confidence Interval
Large-Sample Confidence Intervals for Popu
HW 4 (Due on June 6)
Chapter 4. Continuous Random Variables and Probability Distributions
Section 4.1
4,
a.
b. P(X 200) =
P(X < 200) = P(X 200) .8647, since x is continuous.
P(X 200) = 1 P(X < 200) .1
Please write your answer sheets clearly and stable all sheets
together if you have more than one page.
Homework 3
Due on 10/8 (Wednesday, at the beginning of the class)
You should work on every proble
Chapter 5: Joint Probability Distributions and
Random Samples
The Distribution of a linear Combination
Population and samples
Parameters and statistics
Mean and Standard Deviation of X
Deriving a
Ch5.2: Joint probability distributions
There are many experimental situations in which more than
on random variable will be of interest. In this section, we
consider joint distributions for two discre