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Description: |
x, 724 pages : illustrations ; 27 cm + 1 CD-ROM (4 3/4 in.) |
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Bibliography Note: |
Includes bibliographical references (pages 633-668) and indexes. |
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Summary, Etc. Note: |
Summary: Accompanying CD-ROM contains data files. |
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Contents Note: |
Contents: 1.1 Statistics and the Life Sciences 1 -- Chapter 2 Description of Populations and Samples 9 -- 2.2 Frequency Distributions: Techniques for Data 12 -- 2.3 Frequency Distributions: Shapes and Examples 21 -- 2.4 Descriptive Statistics: Measures of Center 26 -- 2.5 Boxplots 32 -- 2.6 Measures of Dispersion 40 -- 2.7 Effect of Transformation of Variables (Optional) 50 -- 2.8 Samples and Populations: Statistical Inference 57 -- Chapter 3 Random Sampling, Probability, and the Binomial Distribution 71 -- 3.1 Probability and the Life Sciences 71 -- 3.4 Probability Trees 83 -- 3.5 Probability Rules (Optional) 88 -- 3.6 Density Curves 93 -- 3.7 Random Variables 96 -- 3.8 The Binomial Distribution 102 -- 3.9 Fitting a Binomial Distribution to Data (Optional) 112 -- Chapter 4 The Normal Distribution 119 -- 4.2 The Normal Curves 122 -- 4.3 Areas Under a Normal Curve 123 -- 4.4 Assessing Normality 133 -- 4.5 The Continuity Correction (Optional) 141 -- Chapter 5 Sampling Distributions 149 -- 5.2 Dichotomous Observations 151 -- 5.3 Quantitative Observations 157 -- 5.4 Illustration of the Central Limit Theorem (Optional) 167 -- 5.5 The Normal Approximation to the Binomial Distribution (Optional) 170 -- Chapter 6 Confidence Intervals 179 -- 6.1 Statistical Estimation 179 -- 6.2 Standard Error of the Mean 180 -- 6.3 Confidence Interval for [mu] 185 -- 6.4 Planning a Study to Estimate [mu] 197 -- 6.5 Conditions for Validity of Estimation Methods 199 -- 6.6 Confidence Interval for a Population Proportion 206 -- Chapter 7 Comparison of Two Independent Samples 219 -- 7.2 Standard Error of (y[subscript 1] -- y[subscript 2]) 222 -- 7.3 Confidence Interval for ([mu subscript 1] -- [mu subscript 2]) 227 -- 7.4 Hypothesis Testing: The t test 234 -- 7.5 Further Discussion of the t test 248 -- 7.6 One-Tailed t Tests 256 -- 7.7 More on Interpretation of Statistical Significance 266 -- 7.8 Planning for Adequate Power (Optional) 273 -- 7.9 Student's t: Conditions and Summary 280 -- 7.10 More on Principles of Testing Hypotheses 284 -- 7.11 The Wilcoxon-Mann-Whitney Test 288 -- Chapter 8 Statistical Principles of Design 309 -- 8.2 Observational Studies 311 -- 8.3 Experiments 317 -- 8.4 Restricted Randomization: Blocking and Stratification 326 -- 8.5 Levels of Replication 334 -- 8.6 Sampling Concerns (Optional) 338 -- Chapter 9 Comparison of Paired Samples 347 -- 9.2 The Paired-Sample t test and Confidence Interval 348 -- 9.3 The Paired Design 358 -- 9.4 The Sign Test 364 -- 9.5 The Wilcoxon Signed-Rank Test 372 -- 9.6 Further Considerations in Paired Experiments 377 -- Chapter 10 Analysis of Categorical Data 391 -- 10.1 Inference for Proportions: The Chi-Square Goodness-of-Fit Test 391 -- 10.2 The Chi-Square Test for the 2 X 2 Contingency Table 402 -- 10.3 Indepence and Association in the 2 X 2 Contingency Table 412 -- 10.4 Fisher's Exact Test (Optional) 422 -- 10.5 The r X k Contingency Table 428 -- 10.6 Applicability of Methods 434 -- 10.7 Confidence Interval for Difference Between Probabilities 439 -- 10.8 Paired Data and 2 X 2 Tables (Optional) 441 -- 10.9 Relative Risk and the Odds Ratio (Optional) 444 -- 10.10 Summary of Chi-Square Tests 454 -- Chapter 11 Comparing the Means of Many Independent Samples 463 -- 11.2 The Basic Analysis of Variance 467 -- 11.3 The Analysis of Variance Model (Optional) 476 -- 11.4 The Global F Test 478 -- 11.5 Applicability of Methods 484 -- 11.6 Two-Way ANOVA (Optional) 487 -- 11.7 Linear Combinations of Means (Optional) 498 -- 11.8 Multiple Comparisons (Optional) 507 -- Chapter 12 Linear Regression and Correlation 525 -- 12.2 The Fitted Regression Line 527 -- 12.3 Parametric Interpretation of Regression: The Linear Model 541 -- 12.4 Statistical Inference Concerning [beta subscript 1] 548 -- 12.5 The Correlation Coefficient 553 -- 12.6 Guidelines for Interpreting Regression and Correlation 565 -- Chapter 13 A Summary of Inference Methods 595 -- 13.2 Data Analysis Examples 597 -- 1 Random Digits 670 -- 2 Binomial Coefficients [subscript n]C[subscript j] 674 -- 3 Areas Under the Normal Curve 675 -- 4 Critical Values of Student's t Distribution 677 -- 5 Number of Observations for Independent-Samples t Test 678 -- 6 Critical Values of U, the Wilcoxon-Mann-Whitney Statistic 680 -- 7 Critical Values of B for the Sign Test 684 -- 8 Critical Values of W for the Wilcoxon Signed-rank Test 685 -- 9 Critical Values of the Chi-Square Distribution 686 -- 10 Critical Values of the F Distribution 687 -- 11 Critical Constants for the Newman-Keuls Procedure 697 -- 12 Bonferroni Multipliers for 95% Confidence Intervals 699. |