did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9780691094946

Chance in Biology

by ;
  • ISBN13:

    9780691094946

  • ISBN10:

    0691094942

  • Edition: Reprint
  • Format: Paperback
  • Copyright: 2002-09-03
  • Publisher: Princeton Univ Pr

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $85.00 Save up to $25.50
  • Rent Book $59.50
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    IN STOCK USUALLY SHIPS IN 24 HOURS
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

Supplemental Materials

What is included with this book?

Summary

Life is a chancy proposition: from the movement of molecules to the age at which we die, chance plays a key role in the natural world. Traditionally, biologists have viewed the inevitable "noise" of life as an unfortunate complication. The authors of this book, however, treat random processes as a benefit. In this introduction to chance in biology, Mark Denny and Steven Gaines help readers to apply the probability theory needed to make sense of chance events--using examples from ocean waves to spiderwebs, in fields ranging from molecular mechanics to evolution. Through the application of probability theory, Denny and Gaines make predictions about how plants and animals work in a stochastic universe. Is it possible to pack a variety of ion channels into a cell membrane and have each operate at near-peak flow? Why are our arteries rubbery? The concept of a random walk provides the necessary insight. Is there an absolute upper limit to human life span? Could the sound of a cocktail party burst your eardrums? The statistics of extremes allows us to make the appropriate calculations. How long must you wait to see the detail in a moonlit landscape? Can you hear the noise of individual molecules? The authors provide answers to these and many other questions. After an introduction to the basic statistical methods to be used in this book, the authors emphasize the application of probability theory to biology rather than the details of the theory itself. Readers with an introductory background in calculus will be able to follow the reasoning, and sets of problems, together with their solutions, are offered to reinforce concepts. The use of real-world examples, numerous illustrations, and chapter summaries--all presented with clarity and wit--make for a highly accessible text. By relating the theory of probability to the understanding of form and function in living things, the authors seek to pique the reader's curiosity about statistics and provide a new perspective on the role of chance in biology.

Table of Contents

Preface xi
The Nature of Chance
3(9)
Silk, Strength, and Statistics
3(4)
What Is Certain?
7(1)
Determinism versus Chance
8(1)
Chaos
9(2)
A Road Map
11(1)
Rules of Disorder
12(28)
Events, Experiments, and Outcomes
12(7)
Sarcastic Fish
13(1)
Bipolar Smut
14(3)
Discrete versus Continuous
17(1)
Drawing Pictures
18(1)
Probability
19(1)
Rules and Tools
20(14)
Events Are the Sum of Their Parts
20(1)
The Union of Sets
21(2)
The Probability of a Union
23(1)
Probability and the Intersection of Sets
24(1)
The Complement of a Set
25(2)
Additional Information and Conditional Probabilities
27(2)
Bayes' Formula
29(1)
AIDS and Bayes' Formula
30(2)
The Independence of Sets
32(2)
Probability Distributions
34(3)
Summary
37(1)
Problems
37(3)
Discrete Patterns of Disorder
40(28)
Random Variables
40(2)
Expectations Defined
42(4)
The Variance
46(2)
The Trials of Bernoulli
48(2)
Beyond 0's and 1's
50(1)
Σ Bernoulli = Binomial
51(9)
Permutations and Combinations
53(7)
Waiting Forever
60(5)
Summary
65(1)
Problems
66(2)
Continuous Patterns of Disorder
68(38)
The Uniform Distribution
69(8)
The Cumulative Probability Distribution
70(1)
The Probability Density Function
71(3)
The Expectation
74(2)
The Variance
76(1)
The Shape of Distributions
77(2)
The Normal Curve
79(3)
Why Is the Normal Curve Normal?
82(2)
The Cumulative Normal Curve
84(2)
The Standard Error
86(3)
A Brief Detour to Statistics
89(3)
Summary
92(1)
Problems
93(1)
Appendix 1: The Normal Distribution
94(4)
Appendix 2: The Central Limit Theorem
98(8)
Random Walks
106(33)
The Motion of Molecules
106(4)
Rules of a Random Walk
110(5)
The Average
110(2)
The Variance
112(3)
Diffusive Speed
115(1)
Diffusion and the Real World
115(2)
A Digression on the Binomial Theorem
117(2)
The Biology of Diffusion
119(4)
Fick's Equation
123(3)
A Use of Fick's Equation: Limits to Size
126(4)
Receptors and Channels
130(6)
Summary
136(1)
Problems
137(2)
More Random Walks
139(36)
Diffusion to Capture
139(6)
Two Absorbing Walls
142(2)
One Reflecting Wall
144(1)
Adrift at Sea: Turbulent Mixing of Plankton
145(3)
Genetic Drift
148(6)
A Genetic Diffusion Coefficient
149(2)
Drift and Fixation
151(3)
Genetic Drift and Irreproducible Pigs
154(2)
The Biology of Elastic Materials
156(7)
Elasticity Defined
156(1)
Biological Rubbers
157(4)
The Limits to Energy Storage
161(2)
Random Walks in Three Dimensions
163(4)
Random Protein Configurations
167(2)
A Segue to Thermodynamics
169(4)
Summary
173(1)
Problems
173(2)
The Statistics of Extremes
175(33)
The Danger of Cocktail Parties
175(7)
Calculating the Maximum
182(3)
Mean and Modal Maxima
185(1)
Ocean Waves
186(3)
The Statistics of Extremes
189(5)
Life and Death in Rhode Island
194(2)
Play Ball!
196(8)
A Note on Extrapolation
204(2)
Summary
206(1)
Problems
206(2)
Noise and Perception
208(42)
Noise Is Inevitable
208(4)
Dim Lights and Fuzzy Images
212(1)
The Poisson Distribution
213(5)
Bayes' Formula and the Design of Rods
218(1)
Designing Error-Free Rods
219(6)
The Origin of Membrane Potentials
220(2)
Membrane Potential in Rod Cells
222(3)
Noise and Ion Channels
225(5)
An Electrical Analog
226(1)
Calculating the Membrane Voltage
227(2)
Calculating the Size
229(1)
Noise and Hearing
230(9)
Fluctuations in Pressure
231(1)
The Rate of Impact
232(1)
Fluctuations in Velocity
233(2)
Fluctuations in Momentum
235(1)
The Standard Error of Pressure
235(1)
Quantifying the Answer
236(3)
The Rest of the Story
239(1)
Stochastic Resonance
239(6)
The Utility of Noise
239(3)
Nonlinear Systems
242(2)
The History of Stochastic Resonance
244(1)
Summary
245(1)
A Word at the End
246(1)
A Problem
247(1)
Appendix
248(2)
The Answers
250(29)
Chapter 2
250(6)
Chapter 3
256(6)
Chapter 4
262(4)
Chapter 5
266(3)
Chapter 6
269(2)
Chapter 7
271(2)
Chapter 8
273(6)
Symbol Index 279(5)
Author Index 284(2)
Subject Index 286

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program