CHAPTER 8
Estimating with
Confidence
8.3
Estimating a
Population Mean
The Practice of Statistics, 5th Edition
Starnes, Tabor, Yates, Moore
Bedford Freeman Worth Publishers
Estimating a Population Mean
Learning Objectives
After this section, you should be
CHAPTER 8
Estimating with
Confidence
8.2
Estimating a
Population Proportion
The Practice of Statistics, 5th Edition
Starnes, Tabor, Yates, Moore
Bedford Freeman Worth Publishers
Estimating a Population Proportion
Learning Objectives
After this section, yo
CHAPTER 7
Sampling
Distributions
7.3
Sample Means
The Practice of Statistics, 5th Edition
Starnes, Tabor, Yates, Moore
Bedford Freeman Worth Publishers
Sample Means
Learning Objectives
After this section, you should be able to:
FIND the mean and standard
CHAPTER 8
Estimating with
Confidence
8.1
Confidence Intervals:
The Basics
The Practice of Statistics, 5th Edition
Starnes, Tabor, Yates, Moore
Bedford Freeman Worth Publishers
Confidence Intervals: The Basics
Learning Objectives
After this section, you sh
CHAPTER 7
Sampling
Distributions
7.1
What Is A Sampling
Distribution?
The Practice of Statistics, 5th Edition
Starnes, Tabor, Yates, Moore
Bedford Freeman Worth Publishers
What Is A Sampling Distribution?
Learning Objectives
After this section, you should
CHAPTER 7
Sampling
Distributions
7.2
Sample Proportions
The Practice of Statistics, 5th Edition
Starnes, Tabor, Yates, Moore
Bedford Freeman Worth Publishers
Sample Proportions
Learning Objectives
After this section, you should be able to:
FIND the mean
Chapter 6 Section 1 on Normal Distributions
Name: _ Date: _ Period: _
A continuous probability distribution for a given random variable is called a
_. It is bell shaped with mean = median = mode
in center of distribution.
There are 2 inflection points: -
TPS4e Chapter 1: Exploring Data
Chapter 1: Exploring Data
Reading Note:
Notes can be written or typed. See my website for the MSWord document for these notes.
Read the EXAMPLE sections and make sure you understand the answers to the questions.
Read TEC
Chapter 7 Notes
I.
Market Structures The nature and degree of competition among firms doing business in
the same industry.
A. Perfect Competition Market structure characterized by a large number of wellinformed independent buyers and sellers who exchange
CI-MSU AP CHINESE
wangqi31@msu.edu
3.2 Reading Review
Task1:
Q1: What is this advertisement for?
(A) For a New Year special offer
(B) For a Lunar New Year special offer
(C) For a winter vocation special offer
(D) For a summer vocation special offer
Q2: Wh
Test
9,A
AP
Ilirections: Work on tltese
Statistics
Name: idsrni^o l.irah
sheets. Answer completely, but be concise.
:.r
i:
Part 1: Muttiple Choice. Circle the letter coresponding to the
l.
best answer.
Following a dramatic drop of 500 points in the Dow Jo
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APStatistics Nu@
Part 1: Multiple Choice. Circle the letter conesponding to the best answer.
1.
A dealer in the Sands Casino in Las Vegas selects 40 cards from a standard deck of 52 cards. Let
Y be the number of red cards (hea
4,A.
AP Statistics
Directions: Do all of your work on these sheets.
Test
Name:
Part 1: Multiple Choice. Circle the letter corresponding to the best answer.
Suppose we fit the least squares regression line to a set of data. What do we call any individual
p
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Test
98
A P Statistics
Directionsz Work on these
Name: ldanne
l'uzoK
sheets.
Part l.: Multipte Choice. Circle the letter corrlsponding to the best answer.
1.
, i6tq>le
A phone-in poll conducted by a newspaper reported that73%of thos
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AP Stats
i
Name: tosrtrrlf lel.ruiK
nirectioni
Part 1: Multiple Choice. Circle the letter corresponding to the best answer.
1.
Suppose that the population of the scores of all high school seniors who took the SAT Math
t/le/ro
If a single die is rolled
one time, find the probabilities of getting
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AP Statisties
Inference on Regression- Chapter 13
Remember!
two
Date:
nq/rrlrl
tlruZ*rr^,
Per: b
: a * bx,where als a constant and Dis the slope. With regression, we need to use these
as unbiased estimators
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Name: . hsurxE
of a
and B
.
Conlidence Interv
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1. A basketball player makes 160 out of 200 free throws. We would estimate the
probability that the player makes his next free throw to be
A) 0.16.
B) 50-50; either he makes it or he doesn't.
@)1 0.s0.
Dl r.z.
Use the following
8.2 The Geometric Distributions
When dealing with Binomial settings, we have a fixed number of trials and the random variable X
counts the number of successes within that fixed number. However, a number of situations of
interest involve counting how long