Statistics Unlocking the Power of Data

ISBN-10: 0470601876
ISBN-13: 9780470601877
Edition: 2013
List price: $195.95 Buy it from $120.53
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Description: Lock’s first edition of Statistics: Unlocking the Power of Data incorporates the use of available technologies and modern methods of data analysis. The text focuses on providing conceptual understanding of the main themes of statistical inference  More...

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Book details

List price: $195.95
Copyright year: 2013
Publisher: John Wiley & Sons, Incorporated
Publication date: 11/19/2012
Binding: Hardcover
Pages: 736
Size: 8.75" wide x 11.00" long x 1.00" tall
Weight: 4.026
Language: English

Lock’s first edition of Statistics: Unlocking the Power of Data incorporates the use of available technologies and modern methods of data analysis. The text focuses on providing conceptual understanding of the main themes of statistical inference (with the help of a strong emphasis on the use of technology), to provide a more solid grasp of the core ideas of statistics and make it relatively easy to apply those ideas to more theoretical and advanced statistics topics.Furthermore, the text offers cutting edge ideas like randomization and bootstrapping to introduce the fundamental ideas of statistical inference to enhance understanding, make statistics come alive, and deliver improved retention. There is also an emphasis on current, real data and real-life applications along with a seamless integration between text and simulations, animated graphs, and technology-specific data tables. The Lock text is the first written from the ground up utilizing both instructional technology and modern methodology like the bootstrap method to set it apart as the introductory statistics program of the 21st century.

Data
Collecting Data
Describing Data
Understanding Inference
Confidence Intervals
Hypothesis Tests
Inference for Means and Proportions
Approximating with a Distribution
Inference for Means and Proportions
Inference for Multiple Parameters
Chi-Square Tests for Categorical Variables
ANOVA for Comparing Means
Inference for Regression
Multiple Regression
Optional:
Probability Basics

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