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Investigating Statistical Concepts, Applications, and Methods

ISBN-10: 0495050644

ISBN-13: 9780495050643

Edition: 2006

Authors: Beth L. Chance, Allan J. Rossman

List price: $195.95
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Description:

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.
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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