Biometry
by Sokal, Robert R.; Rohlf, F. JamesEdition: 4th
Format: Hardcover
Pub. Date: 2011-09-16
Publisher(s): W. H. Freeman
Other versions by this Author
List Price: $213.66
Rent Textbook
Select for Price
New Textbook
We're Sorry
Sold Out
Used Textbook
We're Sorry
Sold Out
eTextbook
We're Sorry
Not Available
How Marketplace Works:
- This item is offered by an independent seller and not shipped from our warehouse
- Item details like edition and cover design may differ from our description; see seller's comments before ordering.
- Sellers much confirm and ship within two business days; otherwise, the order will be cancelled and refunded.
- Marketplace purchases cannot be returned to eCampus.com. Contact the seller directly for inquiries; if no response within two days, contact customer service.
- Additional shipping costs apply to Marketplace purchases. Review shipping costs at checkout.
Summary
Sokal and Rohlf's classic text deals with statistics from numerous areas of biological research, focusing on practical applications and incorporates computer calculations.
Table of Contents
| Preface | p. xiii |
| Notes on the Fourth Edition | p. xvii |
| Introduction | p. 1 |
| Some Definitions | p. 1 |
| The Development of Biometry | p. 3 |
| The Statistical Frame of Mind | p. 5 |
| Data in Biology | p. 9 |
| Samples and Populations | p. 9 |
| Variables in Biology | p. 11 |
| Accuracy and Precision of Data | p. 13 |
| Derived Variables | p. 16 |
| Frequency Distributions | p. 19 |
| Computers and Data Analysis | p. 33 |
| Computers | p. 33 |
| Software | p. 35 |
| Efficiency and Economy in Data Processing | p. 37 |
| Descriptive Statistics | p. 39 |
| The Arithmetic Mean | p. 40 |
| Other Means | p. 44 |
| The Median | p. 45 |
| The Mode | p. 47 |
| Sample Statistics and Parameters | p. 49 |
| The Range | p. 49 |
| The Standard Deviation | p. 51 |
| Coding Data Before Computation | p. 54 |
| The Coefficient of Variation | p. 55 |
| Introduction to Probability Distributions: Binomial and Poisson | p. 59 |
| Probability, Random Sampling, and Hypothesis Testing | p. 60 |
| The Binomial Distribution | p. 68 |
| The Poisson Distribution | p. 78 |
| Other Discrete Probability Distributions | p. 87 |
| The Normal Probability Distribution | p. 93 |
| Frequency Distributions of Continuous Variables | p. 93 |
| Properties of the Normal Distribution | p. 95 |
| A Model for the Normal Distribution | p. 100 |
| Applications of the Normal Distribution | p. 102 |
| Fitting a Normal Distribution to Observed Data | p. 104 |
| Skewness and Kurtosis | p. 106 |
| Graphic Methods | p. 108 |
| Other Continuous Distributions | p. 117 |
| Hypothesis Testing and Interval Estimation | p. 119 |
| Introduction to Hypothesis Testing: Randomization Approaches | p. 120 |
| Distribution and Variance of Means | p. 131 |
| Distribution and Variance of Other Statistics | p. 137 |
| The t-Distribution | p. 140 |
| More on Hypothesis Testing: Normally Distributed Data | p. 142 |
| Power of a Test | p. 146 |
| Tests of Simple Hypotheses Using the Normal and f-Distributions | p. 148 |
| The Chi-Square Distribution | p. 154 |
| Testing the Hypothesis H0: ¿2 = ¿20 | p. 156 |
| Introduction to Interval Estimation (Confidence Limits) | p. 157 |
| Confidence Limits Using Sample Standard Deviations | p. 162 |
| Confidence Limits for Variances | p. 167 |
| The Jackknife and the Bootstrap | p. 168 |
| Introduction to Analysis of Variance | p. 177 |
| Variances of Samples and Their Means | p. 178 |
| TheF-Distribution | p. 182 |
| The Hypothesis H0: ¿21 = ¿22 | p. 187 |
| Heterogeneity Among Sample Means | p. 190 |
| Partitioning the Total Sum of Squares and Degrees of Freedom | p. 197 |
| Model I Anova | p. 200 |
| Model II Anova | p. 203 |
| Single-Classification Analysis of Variance | p. 207 |
| Computational Formulas | p. 208 |
| General Case: Unequal and Equal n | p. 208 |
| Special Case: Two Groups | p. 220 |
| Comparisons Among Means in a Model I Anova: Essential Background | p. 228 |
| Comparisons Among Means: Special Methods | p. 246 |
| Nested Analysis of Variance | p. 277 |
| Nested Anova: Design | p. 277 |
| Nested Anova: Computation | p. 280 |
| Nested Anovas with Unequal Sample Sizes | p. 301 |
| Two-Way and Multiway Analysis of Variance | p. 319 |
| Two-Way Anova: Design | p. 319 |
| Two-Way Anova with Equal Replication: Computation | p. 321 |
| Two-Way Anova: Hypothesis Testing | p. 331 |
| Two-Way Anova Without Replication | p. 340 |
| Paired Comparisons | p. 349 |
| The Factorial Design | p. 354 |
| A Three-Way Factorial Design | p. 355 |
| Higher-Order Factorial Anovas | p. 365 |
| Other Designs | p. 370 |
| Anova by Computer | p. 372 |
| Statistical Power and Sample Size in the Analysis of Variance | p. 379 |
| Effect Size | p. 379 |
| Noncentral t- and F-Distributions and Confidence Limits for Effect Sizes | p. 382 |
| Power in an Anova | p. 390 |
| Sample Size in an Anova | p. 391 |
| Minimum Detectable Difference | p. 395 |
| Post Hoc Power Analysis | p. 396 |
| Optimal Allocation of Resources in a Nested Design | p. 397 |
| Randomized Blocks and Other Two-Way and Multiway Designs | p. 406 |
| Assumptions of Analysis of Variance | p. 409 |
| A Fundamental Assumption | p. 410 |
| Independence | p. 410 |
| Homogeneity of Variances | p. 413 |
| Normality | p. 422 |
| Transformations | p. 426 |
| The Logarithmic Transformation | p. 427 |
| The Square Root Transformation | p. 433 |
| The Box-Cox Transformation | p. 435 |
| The Arcsine Transformation | p. 438 |
| Nonparametric Methods in Lieu of Single-Classification Anova | p. 440 |
| Nonparametric Methods in Lieu of Two-Way Anova | p. 460 |
| Linear Regression | p. 471 |
| Introduction to Regression | p. 472 |
| Models in Regression | p. 475 |
| The Linear Regression Equation | p. 477 |
| Hypothesis Testing in Regression | p. 485 |
| More Than One Value of Y for Each Value of X | p. 495 |
| The Uses of Regression | p. 506 |
| Estimating X From Y | p. 511 |
| Comparing Two Regression Lines | p. 513 |
| Linear Comparisons in Anovas | p. 515 |
| Examining Residuals and Transformations in Regression | p. 524 |
| Nonparametric Tests for Regression | p. 532 |
| Model II Regression | p. 535 |
| Effect Size, Power, and Sample Size in Regression | p. 544 |
| Correlation | p. 551 |
| Correlation Versus Regression | p. 551 |
| The Product-Moment Correlation Coefficient | p. 554 |
| Computing the Product-Moment Correlation Coefficient | p. 562 |
| The Variance of Sums and Differences | p. 565 |
| Hypothesis Tests for Correlations | p. 567 |
| Applications of Correlation | p. 577 |
| Nonparametric Tests for Association | p. 580 |
| Major Axes and Confidence Regions | p. 588 |
| Effect Size, Power, and Sample Size | p. 592 |
| Multiple and Curvilinear Regression | p. 603 |
| Multiple Regression: Computation | p. 604 |
| Multiple Regression: Hypothesis Tests | p. 614 |
| Path Analysis and Structural Equation Modeling | p. 625 |
| Partial and Multiple Correlation | p. 644 |
| Selection of Independent Variables | p. 649 |
| Computation of Multiple Regression by Matrix Methods | p. 656 |
| Solving Anovas as Regression Problems: General Linear Models | p. 659 |
| Analysis of Covariance (Ancova) | p. 665 |
| Curvilinear Regression | p. 671 |
| Effect Size, Power, and Sample Size in Multiple Regression | p. 685 |
| Advanced Topics in Regression and Correlation | p. 694 |
| Analysis of Frequencies | p. 703 |
| Introduction to Tests for Goodness of Fit | p. 704 |
| Single-Classification Tests for Goodness of Fit | p. 714 |
| Replicated Tests of Goodness of Fit | p. 730 |
| Tests of Independence: Two-Way Tables | p. 739 |
| Analysis of Three-Way Tables | p. 758 |
| Analysis of Proportions | p. 773 |
| Randomized Blocks for Frequency Data | p. 793 |
| Effect Sizes, Power, and Sample Sizes | p. 801 |
| Meta-Analysis and Miscellaneous Methods | p. 817 |
| Synthesis of Prior Research Results: Meta-Analysis | p. 817 |
| Tests for Randomness of Nominal Data: Runs Tests | p. 841 |
| Isotonic Regression | p. 847 |
| Application of Randomization Tests to Unconventional Statistics | p. 850 |
| The Mantel Test of Association Between Two Distance Matrices | p. 852 |
| The Future of Biometry: Data Analysis | p. 859 |
| Appendices | |
| Mathematical Proofs | p. 869 |
| Introduction to Matrices | p. 885 |
| Bibliography | p. 891 |
| Author Index | p. 909 |
| Subject Index | p. 915 |
| Table of Contents provided by Ingram. All Rights Reserved. |
An electronic version of this book is available through VitalSource.
This book is viewable on PC, Mac, iPhone, iPad, iPod Touch, and most smartphones.
By purchasing, you will be able to view this book online, as well as download it, for the chosen number of days.
Digital License
You are licensing a digital product for a set duration. Durations are set forth in the product description, with "Lifetime" typically meaning five (5) years of online access and permanent download to a supported device. All licenses are non-transferable.
More details can be found here.
A downloadable version of this book is available through the eCampus Reader or compatible Adobe readers.
Applications are available on iOS, Android, PC, Mac, and Windows Mobile platforms.
Please view the compatibility matrix prior to purchase.