STAT 1450 COURSE NOTES CHAPTER 20
INFERENCE ABOUT A POPULATION PROPORTION
Introduction
The inference we did in Chapters 14-18 revolved around the population mean. If we want to do
inference about the proportion of some outcome in a population, we can use
Homework #2 Solutions Stat 1450
Chapter 3 (26, 32, 35, 36, 37, 40, 42, 48, 50)
3.26. For each distribution, take the mean plus or minus two standard deviations. For mildly
obese people, this is 373 2(67) = 239 to 507 minutes. For lean people, this is 526
STAT 1450 - Exam 1 Review
Note: This review is slightly longer than the actual exam will be. Also, these questions are representative
of the types of questions you could see, but there are no guarantees that the exam will look like the
exam review.
*Multi
STAT 1450 - Exam 1 Review Solutions
Note: This review is slightly longer than the actual exam will be. Also, these questions are representative
of the types of questions you could see, but there are no guarantees that the exam will look like the
exam revi
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Table entry for C is the critical
value t* required for confidence
level C. To approximate one- and
two-sided P-values, compare t
STAT 1450 COURSE NOTES CHAPTERS 15
TESTS OF SIGNIFICANCE: THE BASICS
Guided Notes associated with the Lecture Video for Sections 15.1&15.2
Connecting Chapter 15 to our Current Knowledge of Statistics
Chapters 10 & 12 used information about a population to
STAT 1450 COURSE NOTES CHAPTER 18
INFERENCE ABOUT ONE POPULATION MEAN
Guided Notes associated with the Lecture Video for Sections 18.1&18.2
Connecting Chapter 18 to our Current Knowledge of Statistics
We know the basics of confidence interval estimation (
STAT 1450 COURSE NOTES CHAPTER 19
TWO SAMPLE PROBLEMS
Connecting Chapter 18 to our Current Knowledge of Statistics
Assuming appropriate simple conditions apply:
Parameter of interest
Point Estimate
(known)
x
(unknown)
x
Confidence Interval
x z
n
x t
s
n
T
STAT 1450 COURSE NOTES CHAPTER 20
INFERENCE ABOUT A POPULATION PROPORTION
Guided Notes associated with the Lecture Video for Section 20.1
Connecting Chapter 20 to our Current Knowledge of Statistics
Assuming appropriate simple conditions apply:
Chapter(s)
Homework #3 Solutions Stat 1450
Chapter 4 (28, 34, 46)
Chapter 5 (28, 34, 36, 37, 53, 56)
4.28. (a) The scatterplot shows a negative linear relationship. Because the relationship is linear,
correlation is an appropriate measure of strength: r = 0.7485. (b
Homework #1 Solutions Stat 1450
Chapter 1 (28, 30, 32, 42, 44)
Chapter 2 (30, 34, 36, 44, 50)
1.28. It is very difficult to estimate precisely, but perhaps 60% (65%) of the Hispanic population
in the United States is Mexican, while perhaps 10% is Puerto R
Homework #4 Solutions Stat 1450
Chapter 6 (20, 21, 22, 23, 24, 27, 28, 29)
6.20. The marginal distribution of marital status is found by taking, for example, 337/8235 =
0.041, or 4.1% for the Single group.
Single Married Divorced Widowed Total
4.1% 93.9%
STAT 1450 Exam 2 Review Exercises: Chapter 10/12, 11, 14/16/18
Spring 2013
Note: This review is much longer than the actual exam will be. While these questions are representative
of the types
STAT 1450 COURSE NOTES CHAPTER 11
SAMPLING DISTRIBUTIONS
The things that we have done so far in this course have been building blocks to get us to what we
do next: inference. When we take information from a sample and generalize it to our population
of in
STAT 1450 COURSE NOTES CHAPTERS 14, 18, 16
CONFIDENCE INTERVALS ABOUT ONE POPULATION MEAN
We have now come to the inference part of the courseusing sample statistics to estimate
population parameters.
Statistical inference provides methods for drawing con
INTRODUCTION TO THE PRACTICE OF STATISTICS (Stat 1450)
Spring 2013 Syllabus
Statistical thinking will one day be as necessary for efficient citizenship as the ability to read and write.
H.G. Wells (1866 - 1946)
Instructor:
Office:
Office Hours:
Office Pho
STAT 1450 COURSE NOTES CHAPTERS 10 AND 12
INTRODUCING PROBABILITY AND GENERAL RULES OF PROBABILITY
Probability is our bridge from data collection and analysis to inference. The rules of probability
will allow us to develop models so that we can generalize
STAT 1450 COURSE NOTES CHAPTER 23
TWO CATEGORICAL VARIABLES: THE CHI-SQUARE TEST
Introduction
Our work in Chapter 21 allowed us to compare the proportions of successes in two groups. When we
did this, we were working with one categorical variable taken fr
Chapter 19: Two-Sample Problems
STAT 1450
19.0 Two-Sample Problems
Connecting Chapter 18 to our
Current Knowledge of Statistics
Population
Parameter
Point Estimate
Confidence
Interval
Test Statistic
( known)
( known)
( unknown)
s
( unknown)
s
Remembe