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The Practice of Statistics in the Life Sciences

Autor Brigitte Baldi, David S. Moore
en Limba Engleză Hardback – 16 iun 2011
This text brings a student-friendly style to the often-tricky subject of statistics. The emphasis on real data and statistical
thinking illuminates the theory behing quantitative analysis in a life sciences context.

The examples and exercises are drawn from diverse areas of biology, including physiology, brain and behavior, epidemiology, health and medicine, nutrition, ecology, and microbiology. This keeps the subject interesting and relevant to a wide range of disciplines. A four-step problem-solving process (State, Formulate, Solve, Conclude) guides student work on realistic statistical problems. The process is used as appropriate and most often as students gain the tools needed to handle real-world problems. In addition, Caution Notes warn students of possible pitfalls they can encounter when analyzing data.

The new edition features hundreds of new exercises and examples, added emphasis on working with large data sets, updated technology coverage, and and an expanded media/supplements package.

Technology is emphasized throughout the text and always presented in a student-friendly format.
o CrunchIt! Software Output Screens. In addition to Minitab, TI graphing calculators, Excel, and SPSS, the Using Technology sections now include CrunchIt!, a student-friendly statistical software package. A CrunchIt! access code is provided with each new textbook or access can be purchased online.
o Applets. Available on the companion Web site and CD, and marked throughout the text, these interactive applets help students learn important concepts such as regression, central limit theorem, and more.
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Specificații

ISBN-13: 9781429252355
ISBN-10: 1429252359
Pagini: 608
Dimensiuni: 223 x 263 x 29 mm
Greutate: 1.57 kg
Ediția:Revizuită
Editura: W. H. Freeman
Colecția W. H. Freeman
Locul publicării:New York, United States

Cuprins

PART I: EXPLORING DATA 1
Exploring Data: Variables and Distributions
Picturing Distributions with Graphs
Describing Distributions with Numbers
Exploring Data: Relationships
Scatterplots and Correlation 
Regression 
Two-Way Tables 
Part I Review

PART II: FROM EXPLORATION TO INFERENCE
Producing Data
Samples and Observational Studies 
Designing Experiments
Probability and Sampling Distributions
Introducing Probability
General Rules of Probability 
The Normal Distributions 
Discrete Probability
Distributions 
Sampling Distributions
The Idea of Inference
Introduction to Inference
Inference in Practice
Part II Review

PART III: STATISTICAL INFERENCE 
Inference about Variables
Inference about a Population Mean
Comparing Two Means 
Inference about a Population Proportion 
Comparing Two Proportions
The Chi-Square Test for Goodness of Fit
Inference about Relationships 
The Chi-Square Test for Two-Way Tables 
Inference for Regression
One-Way Analysis of Variance: Comparing Several Means
Part III Review

PART IV: OPTIONAL COMPANION CHAPTERS
(available on the PSLS2e CD and online)
More about Analysis of Variance: Follow-up Tests and Two-Way ANOVA 
Nonparametric Tests
Multiple Regression

Notă biografică

BRIGITTE BALDI is a Lecturer at University of California, USA.
DAVID S. MOORE is a Lecturer at Purdue University, USA.

Caracteristici

Student-friendly style and emphasis on real data
Examples and exercises are drawn from diverse areas of biology, including: physiology, brain and behaviour, epidemiology, health and medicine, nutrition, ecology, and microbiology
Can be used to either cover a wide range of topics or a particular field
The new edition features hundreds of new exercises and examples, with an added emphasis on working with large data sets

Caracteristici noi

New Relevant Examples and Exercises
About one quarter of the exercises and examples have been updated or changed. Examples include:
• Chapter 4, Exercise 4.38 Managing Diabetes
• Chapter 8, Example 8.5 Acupuncture for Migraines
• Chapter 13, Example 13.7 Who Gets the Flu?
• Chapter 22, Exercise 22.1 Age and HPV Infection


New Large Data Set Exercises

At the end of quantitative chapters you will now find a series of exercises dealing with large data sets. These data sets contain several variables and a fairly large number of subjects. Some of these data sets recur throughout the book, providing an opportunity for comprehensive analysis spanning a range of statistical topics. No short solution is provided for these exercises, giving instructors the option to assign them as graded assignments or in-class work (when a computer lab is available).


Thoroughly Updated to Support the Interests of the Course
Most notably:
o Chapter 18: the discussion of the degrees of freedom for the two-sample t procedures has been simplified to account for technology use in the classroom.
o Chapter 23: now includes the section on residuals and residual plots, placing a detailed examination of residuals in the context of checking inference conditions.
o New! Chapter 28: covering Multiple and Logistic Regression.


Technology Outputs in Additional Formats
In addition to TI83-84, Excel, Minitab, and SPSS, a number of examples in this edition are illustrated using JMP and R. In addition, all CrunchIt! outputs have been updated to reflect W.H. Freeman's new CrunchIt! 2.0 version, rebuilt as a menu-driven interface over the R program.