Statistics Through Applications

by Yates, Dan; Starnes, Daren S.; Moore, David S.

• ISBN13: 9780716747727
• ISBN10: 0716747723
• Format: Hardcover
• Copyright: 2004-03-01
• Publisher: W. H. Freeman

Summary

The NCTM urges the study of statistics in high school, and many schools have designed courses based on these NCTM recommendations. Now from the authors of the overwhelming favorite for the AP Statistics course (The Practice of Statistics) comes the first text written exclusively for a non-AP level high introduction to statistics for high school students. Statistics Through Applicationsis the ideal alternative for juniors and seniors not going into high level courses such as calculus, but who are interested in an introduction to the important topics of statistics. The book's data analysis approach moves students away from monotonous computation to focus on the statistical thinking behind data gathering and interpretation. This approach more accurately reflects the way working statisticians contribute to our understanding of the world. It also helps students be more discerning consumers of statistics, teaching them to look closely at what the numbers from surveys, election polls, and medical studies are really saying. State Correlations http://www.bfwpub.com/pdfs/yatessta/state.htm

Table of Contents

About the Authors	p. vii
Preface	p. viii
Prelude	p. xii
Producing Data	p. 1
How Do We Get "Good" Data?	p. 3
Where Do Data Come From?	p. 3
Measuring	p. 22
Do the Numbers Make Sense?	p. 45
Sampling and Surveys	p. 63
Samples, Good and Bad	p. 63
What Do Samples Tell Us?	p. 82
Sample Surveys in the Real World	p. 103
Designing Experiments	p. 133
Experiments, Good and Bad	p. 133
Experiments in the Real World	p. 152
Data Ethics	p. 174
Organizing Data	p. 197
Describing Distributions	p. 199
Graphs, Good and Bad	p. 199
Displaying Distributions with Graphs	p. 221
Describing Distributions with Numbers	p. 247
The Normal Distributions and Government Statistics	p. 279
Normal Distributions	p. 279
The Consumer Price Index and Government Statistics	p. 307
Describing Relationships	p. 331
Scatterplots and Correlation	p. 331
Regression, Prediction, and Causation	p. 363
Chance	p. 399
Chance and Probability	p. 401
Thinking about Chance	p. 401
Probability Models	p. 422
Simulation and Expected Values	p. 445
Simulation	p. 445
Expected Values	p. 463
Inference	p. 485
Introduction to Inference	p. 528
What Is a Confidence Interval?	p. 487
What Is a Test of Significance?	p. 509
Use and Abuse of Statistical Inference	p. 528
Inference for Tables and Means	p. 551
Two-Way Tables and the Chi-Square Test	p. 551
Inference about a Population Mean	p. 575
Notes and Data Sources	p. N-1
Solutions to Odd-Numbered Exercises	p. S-1
Index	p. I-1
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