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STA2023 – Exam 4 Outline (Chapters 18b, 23, 24 + Ch. 1922)
The following is a checklist of important points covered in chapters 18b, 23, and 24.
Think of this list of
concepts as an addon to the exam 3 outline
that you have from the last exam.
There were several general
concepts listed the Chapters 1922 section of that outline that are still relevant to chapters 23 & 24:
•
Interpretations of confidence interval and/or hypothesis test result
•
Understanding the general form of a confidence interval (point estimate
±
margin of error)
•
Determining the width, margin of error, or point estimate of a confidence interval
•
Knowing when to reject H
0
and support H
A
( do so when the pvalue is small)
•
Understanding the meaning of a pvalue
•
Understanding the meaning of 95% confidence
•
Understanding the effect of increasing sample size (
n
)
•
Deciding whether or not to reject H
0
by determining if H
0
lies inside the confidence interval
•
Making Type I & II errors
Additional new concepts are listed below.
In addition to doing a quick review of major concepts, you might want to look over the online quizzes and
the inclass handouts/activities.
Where needed, go to the textbook homework problems for further practice.
You need to bring a graphing calculator with you to the exam.
The ZTable, TTable, and Inferential
Statistics Formula Sheet will be provided.
You are
NOT allowed an index card
for this exam – the formula
sheet is provided!!!
Chapter 18b

According to the Central Limit Theorem (CLT), regardless of the population’s shape, what happens to
the sampling distribution of sample means (
_
y
values) as the sample size (
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 Spring '08
 Ripol
 Statistics

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