The Practice of Statistics in the Life Sciences
Autor Brigitte Baldi, David S. Mooreen Limba Engleză Hardback – 16 iun 2011
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
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
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.
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
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.
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.