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Statistics

A Gentle Introduction

«The book is written to address a broad range of student ability. It is helpful to students without a strong background in mathematics.
»

Andrew Zekeri

Helping the reader to understand how the science of statistics works and to make informed decisions about the world we live in, this text offers a step-by-step approach to statistical tests instead of using formulas by rote. Les mer

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Helping the reader to understand how the science of statistics works and to make informed decisions about the world we live in, this text offers a step-by-step approach to statistical tests instead of using formulas by rote. The fourth edition features a wealth of real-world examples, exercises in R, advice for working with larger datasets, new coverage of alternative non-parametric tests and an expanded discussion of confidence intervals. Every chapter also includes a short story about historical or contemporary statisticians who helped advance statistics through unique applications.

Detaljer

Forlag
SAGE Publications Inc
Innbinding
Paperback
Språk
Engelsk
Sider
536
ISBN
9781506368436
Utgave
4. utg.
Utgivelsesår
2020
Format
23 x 19 cm

Anmeldelser

«The book is written to address a broad range of student ability. It is helpful to students without a strong background in mathematics.
»

Andrew Zekeri

«

Statistics is generally not a dynamic topic. But Coolidge is able to break it down in a way that is manageable. His discussion of each type of analyses is easily accessed by the table of contents and accurately depicted in the index. This is especially important for this generation of learners who want easy access to the specific information that is necessary without waiting through extraneous concepts. Coolidge also describes contemporary and specific examples of how miss use of data can have an impact in real world circumstances. This is beneficial because it makes a true connection with the power that a statistical researcher holds.



»

Dr. Lynn DeSpain

«It is the only book on the market that covers important advanced techniques such as repeated measures ANOVA and multiple regressions, using SPSS.»

Abby Heckman Coats

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