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Biostatistics for Health and Biological Science, Books a la Carte Edition [Loose-leaf]

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  • Formatas: Loose-leaf, aukštis x plotis x storis: 251x211x23 mm, weight: 1383 g
  • Išleidimo metai: 01-Jul-2009
  • Leidėjas: Pearson
  • ISBN-10: 0321628225
  • ISBN-13: 9780321628220
Kitos knygos pagal šią temą:
  • Formatas: Loose-leaf, aukštis x plotis x storis: 251x211x23 mm, weight: 1383 g
  • Išleidimo metai: 01-Jul-2009
  • Leidėjas: Pearson
  • ISBN-10: 0321628225
  • ISBN-13: 9780321628220
Kitos knygos pagal šią temą:

Biostatistics for the Biological and Health Sciences is the result of collaboration between the author of the #1 statistics book in the country and an expert in the biological sciences field. The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences.This text reflects the important features of a modern introductory statistics course and includes an abundance of real data and biological applications, and a variety of pedagogical components to help students succeed in their study of biological statistics.MARKET: It is the ideal introduction to statistics for students and professors in the biological, life, and health sciences.

1 Introduction
2(22)
1-1 Overview
4(1)
1-2 Types of Data
4(6)
1-3 Design of Experiments
10(14)
2 Describing, Exploring, and Comparing Data
24(66)
2-1 Overview
26(1)
2-2 Frequency Distributions
27(6)
2-3 Visualizing Data
33(9)
2-4 Measures of Center
42(11)
2-5 Measures of Variation
53(16)
2-6 Measures of Relative Standing
69(7)
2-7 Exploratory Data Analysis (EDA)
76(14)
8 Probability
90(66)
3-1 Overview
92(1)
3-2 Fundamentals
92(9)
3-3 Addition Rule
101(8)
3-4 Multiplication Rule: Basics
109(9)
3-5 Multiplication Rule: Beyond the Basics
118(9)
3-6 Risks and Odds
127(9)
3-7 Rates of Mortality, Fertility, and Morbidity
136(5)
3-8 Counting
141(15)
4 Discrete Probability Distributions
156(34)
4-1 Overview
158(1)
4-2 Random Variables
159(9)
4-3 Binomial Probability Distributions
168(10)
4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
178(4)
4-5 The Poisson Distribution
182(8)
5 Normal Probability Distributions
190(64)
5-1 Overview
192(1)
5-2 The Standard Normal Distribution
193(11)
5-3 Applications of Normal Distributions
204(8)
5-4 Sampling Distributions and Estimators
212(9)
5-5 The Central Limit Theorem
221(10)
5-6 Normal as Approximation to Binomial
231(10)
5-7 Assessing Normality
241(13)
6 Estimates and Sample Sizes with One Sample
254(60)
6-1 Overview
256(1)
6-2 Estimating a Population Proportion
256(17)
6-3 Estimating a Population Mean: σ Known
273(11)
6-4 Estimating a Population Mean: σ Not Known
284(13)
6-5 Estimating a Population Variance
297(17)
7 Hypothesis Testing with One Sample
314(62)
7-1 Overview
316(1)
7-2 Basics of Hypothesis Testing
317(20)
7-3 Testing a Claim About a Proportion
337(11)
7-4 Testing a Claim About a Mean: σ Known
348(5)
7-5 Testing a Claim About a Mean: σ Not Known
353(11)
7-6 Testing a Claim About a Standard Deviation or Variance
364(12)
8 Inferences from Two Samples
376(48)
8-1 Overview
378(1)
8-2 Inferences About Two Proportions
378(11)
8-3 Inferences About Two Means: Independent Samples
389(11)
8-4 Inferences from Matched Pairs
400(8)
8-5 Odds Ratios
408(6)
8-6 Comparing Variation in Two Samples
414(10)
9 Correlation and Regression
424(64)
9-1 Overview
428(1)
9-2 Correlation
428(21)
9-3 Regression
449(15)
9-4 Variation and Prediction Intervals
464(8)
9-5 Multiple Regression
472(16)
10 Multinomial Experiments and Contingency Tables
488(42)
10-1 Overview
490(1)
10-2 Multinomial Experiments: Goodness-of-Fit
491(13)
10-3 Contingency Tables: Independence and Homogeneity
504(15)
10-4 McNemar's Test for Matched Pairs
519(11)
11 Analysis of Variance
530(36)
11-1 Overview
532(2)
11-2 One-Way ANOVA
534(16)
11-3 Two-Way ANOVA
550(16)
12 Nonparametric Statistics
566(44)
12-1 Overview
568(2)
12-2 Sign Test
570(10)
12-3 Wilcoxon Signed-Ranks Test for Matched Pairs
580(5)
12-4 Wilcoxon Rank-Sum Test for Two Independent Samples
585(6)
12-5 Kruskal-Wallis Test
591(6)
12-6 Rank Correlation
597(13)
13 Life Tables
610(18)
13-1 Overview
612(1)
13-2 Elements of a Life Table
612(8)
13-3 Applications of Life Tables
620(8)
Appendix A Tables 628(17)
Appendix B Data Sets 645(15)
Appendix C Answers to Odd-Numbered Exercises 660(27)
Credits 687(2)
Index 689