Investigating Statistical Concepts, Applications, and Methods

Name: Investigating Statistical Concepts, Applications, and Methods
Price: 22.51 USD
Availability: InStock
ISBN: 9780495050643

ISBN-10: 0495050644

ISBN-13: 9780495050643

Edition: 2006

Authors: Beth L. Chance, Allan J. Rossman

List price: $195.95

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INVESTIGATING STATISTICAL CONCEPTS, APPLICATIONS, AND METHODS contains a balanced mixture of investigations and exposition. The investigations lead students to explore and discover statistical ideas and techniques, while the exposition explains and reinforces what the investigations are designed to reveal. Many of the investigations ask students to use technology such as statistical software and Java? applets. A combination of practice, homework, and application problems emphasize actual studies. The book is intended for a course that provides mathematically inclined students with a data-oriented and conceptually based introduction to the fundamental ideas and techniques of statistics.

Book details

List price: $195.95
Copyright year: 2006
Publisher: Brooks/Cole
Publication date: 6/16/2005
Binding: Paperback
Pages: 608
Size: 8.75" wide x 10.75" long x 1.00" tall
Weight: 2.948
Language: English




Comparisons and Conclusions


Summarizing Categorical Data


Analyzing Categorical Data


Confounding


Designing Experiments


Assessing Statistical Significance


Probability and Counting Methods


Fisher's Exact Test



Comparisons With Quantitative Variables


Summarizing Quantitative Data


Statistical Significance



Sampling From Populations


Selecting Samples from Populations I


Sampling from a Process


Exact Binomial Inference


Sampling from a Population II



Models and Sampling Distributions


Models of Quantitative Data


Applying the Normal Probability Model


Distributions of Sample Counts and Proportions


Distributions of Sample Means


Bootstrapping



Comparing Two Populations


Comparing Two Samples on a Categorical Response


Randomized Experiments Revisited


Comparing Two Samples on a Quantitative Response



Comparing Several Populations, Exploring Relationships


Two Categorical Variables


Comparing Several Population Means


Relationships Between Quantitative Variables


Inference for Regression