Statistics Through Applications

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  • Format: Hardcover
  • Copyright: 2004-03-01
  • Publisher: W. H. Freeman

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Supplemental Materials

What is included with this book?


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

Table of Contents

About the Authorsp. vii
Prefacep. viii
Preludep. xii
Producing Datap. 1
How Do We Get "Good" Data?p. 3
Where Do Data Come From?p. 3
Measuringp. 22
Do the Numbers Make Sense?p. 45
Sampling and Surveysp. 63
Samples, Good and Badp. 63
What Do Samples Tell Us?p. 82
Sample Surveys in the Real Worldp. 103
Designing Experimentsp. 133
Experiments, Good and Badp. 133
Experiments in the Real Worldp. 152
Data Ethicsp. 174
Organizing Datap. 197
Describing Distributionsp. 199
Graphs, Good and Badp. 199
Displaying Distributions with Graphsp. 221
Describing Distributions with Numbersp. 247
The Normal Distributions and Government Statisticsp. 279
Normal Distributionsp. 279
The Consumer Price Index and Government Statisticsp. 307
Describing Relationshipsp. 331
Scatterplots and Correlationp. 331
Regression, Prediction, and Causationp. 363
Chancep. 399
Chance and Probabilityp. 401
Thinking about Chancep. 401
Probability Modelsp. 422
Simulation and Expected Valuesp. 445
Simulationp. 445
Expected Valuesp. 463
Inferencep. 485
Introduction to Inferencep. 528
What Is a Confidence Interval?p. 487
What Is a Test of Significance?p. 509
Use and Abuse of Statistical Inferencep. 528
Inference for Tables and Meansp. 551
Two-Way Tables and the Chi-Square Testp. 551
Inference about a Population Meanp. 575
Notes and Data Sourcesp. N-1
Solutions to Odd-Numbered Exercisesp. S-1
Indexp. I-1
Table of Contents provided by Ingram. All Rights Reserved.

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