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Biostatistics: A Foundation for Analysis in the Health Sciences / Edition 6
Biostatistics: A Foundation for Analysis in the Health Sciences / Edition 6 available in Hardcover, Paperback, Other Format
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Overview
Anyone entering the allied health field needs to have a working understanding of how data can be turned into useful information. Now in its ninth edition, Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences provides a comprehensive introduction to biostatistics as it is used in the biological sciences.
Product Details
ISBN13:  9780471588528 

Publisher:  Wiley 
Publication date:  09/28/1994 
Series:  Wiley Series in Probability and Mathematical Statistics 
Edition description:  Older Edition 
Pages:  800 
Product dimensions:  7.70(w) x 9.59(h) x 1.44(d) 
Read an Excerpt
Anyone entering the allied health field needs to have a working understanding of how data can be turned into useful information. Now in its ninth edition, Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences provides a comprehensive introduction to biostatistics as it is used in the biological sciences.
First Chapter
Anyone entering the allied health field needs to have a working understanding of how data can be turned into useful information. Now in its ninth edition, Wayne W. Daniel's Biostatistics: A Foundation for Analysis in the Health Sciences provides a comprehensive introduction to biostatistics as it is used in the biological sciences.
Table of Contents
1 Introduction to Biostatistics 1
1.1 Introduction 2
1.2 Some Basic Concepts 2
1.3 Measurement and Measurement Scales 5
1.4 Sampling and Statistical Inference 7
1.5 The Scientific Method and the Design of Experiments 13
1.6 Computers and Biostatistical Analysis 15
1.7 Summary 16
Review Questions and Exercises 17
References 18
2 Descriptive Statistics 19
2.1 Introduction 20
2.2 The Ordered Array 20
2.3 Grouped Data: The Frequency Distribution 22
2.4 Descriptive Statistics: Measures of Central Tendency 38
2.5 Descriptive Statistics: Measures of Dispersion 43
2.6 Summary 54
Review Questions and Exercises 56
References 63
3 Some Basic Probability Concepts 65
3.1 Introduction 66
3.2 Two Views of Probability: Objective and Subjective 66
3.3 Elementary Properties of Probability 68
3.4 Calculating the Probability of an Event 69
3.5 Bayes' Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative 79
3.6 Summary 84
Review Questions and Exercises 86
References 91
4 Probability Distributions 93
4.1 Introduction 94
4.2 Probability Distributions of Discrete Variables 94
4.3 The Binomial Distribution 100
4.4 The Poisson Distribution 109
4.5 Continuous Probability Distributions 114
4.6 The Normal Distribution 117
4.7 Normal Distribution Applications 123
4.8 Summary 129
Review Questions and Exercises 131
References 134
5 Some Important Sampling Distributions 135
5.1 Introduction 136
5.2 Sampling Distributions 136
5.3 Distribution of the Sample Mean 137
5.4 Distribution of the Difference Between Two Sample Means 146
5.5 Distribution of the Sample Proportion 151
5.6Distribution of the Difference Between Two Sample Proportions 155
5.7 Summary 158
Review Questions and Exercises 159
References 161
6 Estimation 162
6.1 Introduction 163
6.2 Confidence Interval for a Population Mean 166
6.3 The t Distribution 172
6.4 Confidence Interval for the Difference Between Two Population Means 178
6.5 Confidence Interval for a Population Proportion 185
6.6 Confidence Interval for the Difference Between Two Population Proportions 187
6.7 Determination of Sample Size for Estimating Means 189
6.8 Determination of Sample Size for Estimating Proportions 192
6.9 Confidence Interval for the Variance of a Normally Distributed Population 194
6.10 Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations 199
6.11 Summary 203
Review Questions and Exercises 206
References 212
7 Hypothesis Testing 215
7.1 Introduction 216
7.2 Hypothesis Testing: A Single Population Mean 223
7.3 Hypothesis Testing: The Difference Between Two Population Means 237
7.4 Paired Comparisons 250
7.5 Hypothesis Testing: A Single Population Proportion 258
7.6 Hypothesis Testing: The Difference Between Two Population Proportions 262
7.7 Hypothesis Testing: A Single Population Variance 265
7.8 Hypothesis Testing: The Ratio of Two Population Variances 268
7.9 The Type II Error and the Power of a Test 273
7.10 Determining Sample Size to Control Type II Errors 278
7.11 Summary 281
Review Questions and Exercises 283
References 301
8 Analysis of Variance 305
8.1 Introduction 306
8.2 The Completely Randomized Design 308
8.3 The Randomized Complete Block Design 334
8.4 The Repeated Measures Design 346
8.5 The Factorial Experiment 353
8.6 Summary 368
Review Questions and Exercises 371
References 404
9 Simple Linear Regression and Correlation 409
9.1 Introduction 410
9.2 The Regression Model 410
9.3 The Sample Regression Equation 413
9.4 Evaluating the Regression Equation 423
9.5 Using the Regression Equation 437
9.6 The Correlation Model 441
9.7 The Correlation Coefficient 442
9.8 Some Precautions 455
9.9 Summary 456
Review Questions and Exercises 460
References 482
10 Multiple Regression and Correlation 485
10.1 Introduction 486
10.2 The Multiple Linear Regression Model 486
10.3 Obtaining the Multiple Regression Equation 488
10.4 Evaluating the Multiple Regression Equation 497
10.5 Using the Multiple Regression Equation 503
10.6 The Multiple Correlation Model 506
10.7 Summary 519
Review Questions and Exercises 521
References 533
11 Regression Analysis: Some Additional Techniques 535
11.1 Introduction 536
11.2 Qualitative Independent Variables 539
11.3 Variable Selection Procedures 556
11.4 Logistic Regression 565
11.5 Summary 575
Review Questions and Exercises 576
References 590
12 The ChiSquare Distribution and the Analysis of Frequencies 593
12.1 Introduction 594
12.2 The Mathematical Properties of the ChiSquare Distribution 594
12.3 Tests of GoodnessofFit 597
12.4 Tests of Independence 612
12.5 Tests of Homogeneity 623
12.6 The Fisher Exact Test 629
12.7 Relative Risk, Odds Ratio, and the MantelHaenszel Statistic 634
12.8 Survival Analysis 648
12.9 Summary 664
Review Questions and Exercises 666
References 678
13 Nonparametric and DistributionFree Statistics 683
13.1 Introduction 684
13.2 Measurement Scales 685
13.3 The Sign Test 686
13.4 The Wilcoxon SignedRank Test for Location 694
13.5 The Median Test 699
13.6 The MannWhitney Test 703
13.7 The KolmogorovSmirnov GoodnessofFit Test 711
13.8 The KruskalWallis OneWay Analysis of Variance by Ranks 717
13.9 The Friedman TwoWay Analysis of Variance by Ranks 725
13.10 The Spearman Rank Correlation Coefficient 731
13.11 Nonparametric Regression Analysis 740
13.12 Summary 743
Review Questions and Exercises 745
References 760
14 Vital Statistics 763
14.1 Introduction 764
14.2 Death Rates and Ratios 765
14.3 Measures of Fertility 772
14.4 Measures of Morbidity 776
14.5 Summary 777
Review Questions and Exercises 779
References 782
Appendix Statistical Tables A1
Answers to OddNumbered Exercises A106
Index I1
Reading Group Guide
1 Introduction to Biostatistics 1
1.1 Introduction 2
1.2 Some Basic Concepts 2
1.3 Measurement and Measurement Scales 5
1.4 Sampling and Statistical Inference 7
1.5 The Scientific Method and the Design of Experiments 13
1.6 Computers and Biostatistical Analysis 15
1.7 Summary 16
Review Questions and Exercises 17
References 18
2 Descriptive Statistics 19
2.1 Introduction 20
2.2 The Ordered Array 20
2.3 Grouped Data: The Frequency Distribution 22
2.4 Descriptive Statistics: Measures of Central Tendency 38
2.5 Descriptive Statistics: Measures of Dispersion 43
2.6 Summary 54
Review Questions and Exercises 56
References 63
3 Some Basic Probability Concepts 65
3.1 Introduction 66
3.2 Two Views of Probability: Objective and Subjective 66
3.3 Elementary Properties of Probability 68
3.4 Calculating the Probability of an Event 69
3.5 Bayes' Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative 79
3.6 Summary 84
Review Questions and Exercises 86
References 91
4 Probability Distributions 93
4.1 Introduction 94
4.2 Probability Distributions of Discrete Variables 94
4.3 The Binomial Distribution 100
4.4 The Poisson Distribution 109
4.5 Continuous Probability Distributions 114
4.6 The Normal Distribution 117
4.7 Normal Distribution Applications 123
4.8 Summary 129
Review Questions and Exercises 131
References 134
5 Some Important Sampling Distributions 135
5.1 Introduction 136
5.2 Sampling Distributions 136
5.3 Distribution of the Sample Mean 137
5.4 Distribution of the Difference Between Two Sample Means 146
5.5 Distribution of the Sample Proportion 151
5.6Distribution of the Difference Between Two Sample Proportions 155
5.7 Summary 158
Review Questions and Exercises 159
References 161
6 Estimation 162
6.1 Introduction 163
6.2 Confidence Interval for a Population Mean 166
6.3 The t Distribution 172
6.4 Confidence Interval for the Difference Between Two Population Means 178
6.5 Confidence Interval for a Population Proportion 185
6.6 Confidence Interval for the Difference Between Two Population Proportions 187
6.7 Determination of Sample Size for Estimating Means 189
6.8 Determination of Sample Size for Estimating Proportions 192
6.9 Confidence Interval for the Variance of a Normally Distributed Population 194
6.10 Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations 199
6.11 Summary 203
Review Questions and Exercises 206
References 212
7 Hypothesis Testing 215
7.1 Introduction 216
7.2 Hypothesis Testing: A Single Population Mean 223
7.3 Hypothesis Testing: The Difference Between Two Population Means 237
7.4 Paired Comparisons 250
7.5 Hypothesis Testing: A Single Population Proportion 258
7.6 Hypothesis Testing: The Difference Between Two Population Proportions 262
7.7 Hypothesis Testing: A Single Population Variance 265
7.8 Hypothesis Testing: The Ratio of Two Population Variances 268
7.9 The Type II Error and the Power of a Test 273
7.10 Determining Sample Size to Control Type II Errors 278
7.11 Summary 281
Review Questions and Exercises 283
References 301
8 Analysis of Variance 305
8.1 Introduction 306
8.2 The Completely Randomized Design 308
8.3 The Randomized Complete Block Design 334
8.4 The Repeated Measures Design 346
8.5 The Factorial Experiment 353
8.6 Summary 368
Review Questions and Exercises 371
References 404
9 Simple Linear Regression and Correlation 409
9.1 Introduction 410
9.2 The Regression Model 410
9.3 The Sample Regression Equation 413
9.4 Evaluating the Regression Equation 423
9.5 Using the Regression Equation 437
9.6 The Correlation Model 441
9.7 The Correlation Coefficient 442
9.8 Some Precautions 455
9.9 Summary 456
Review Questions and Exercises 460
References 482
10 Multiple Regression and Correlation 485
10.1 Introduction 486
10.2 The Multiple Linear Regression Model 486
10.3 Obtaining the Multiple Regression Equation 488
10.4 Evaluating the Multiple Regression Equation 497
10.5 Using the Multiple Regression Equation 503
10.6 The Multiple Correlation Model 506
10.7 Summary 519
Review Questions and Exercises 521
References 533
11 Regression Analysis: Some Additional Techniques 535
11.1 Introduction 536
11.2 Qualitative Independent Variables 539
11.3 Variable Selection Procedures 556
11.4 Logistic Regression 565
11.5 Summary 575
Review Questions and Exercises 576
References 590
12 The ChiSquare Distribution and the Analysis of Frequencies 593
12.1 Introduction 594
12.2 The Mathematical Properties of the ChiSquare Distribution 594
12.3 Tests of GoodnessofFit 597
12.4 Tests of Independence 612
12.5 Tests of Homogeneity 623
12.6 The Fisher Exact Test 629
12.7 Relative Risk, Odds Ratio, and the MantelHaenszel Statistic 634
12.8 Survival Analysis 648
12.9 Summary 664
Review Questions and Exercises 666
References 678
13 Nonparametric and DistributionFree Statistics 683
13.1 Introduction 684
13.2 Measurement Scales 685
13.3 The Sign Test 686
13.4 The Wilcoxon SignedRank Test for Location 694
13.5 The Median Test 699
13.6 The MannWhitney Test 703
13.7 The KolmogorovSmirnov GoodnessofFit Test 711
13.8 The KruskalWallis OneWay Analysis of Variance by Ranks 717
13.9 The Friedman TwoWay Analysis of Variance by Ranks 725
13.10 The Spearman Rank Correlation Coefficient 731
13.11 Nonparametric Regression Analysis 740
13.12 Summary 743
Review Questions and Exercises 745
References 760
14 Vital Statistics 763
14.1 Introduction 764
14.2 Death Rates and Ratios 765
14.3 Measures of Fertility 772
14.4 Measures of Morbidity 776
14.5 Summary 777
Review Questions and Exercises 779
References 782
Appendix Statistical Tables A1
Answers to OddNumbered Exercises A106
Index I1
Interviews
1 Introduction to Biostatistics 1
1.1 Introduction 2
1.2 Some Basic Concepts 2
1.3 Measurement and Measurement Scales 5
1.4 Sampling and Statistical Inference 7
1.5 The Scientific Method and the Design of Experiments 13
1.6 Computers and Biostatistical Analysis 15
1.7 Summary 16
Review Questions and Exercises 17
References 18
2 Descriptive Statistics 19
2.1 Introduction 20
2.2 The Ordered Array 20
2.3 Grouped Data: The Frequency Distribution 22
2.4 Descriptive Statistics: Measures of Central Tendency 38
2.5 Descriptive Statistics: Measures of Dispersion 43
2.6 Summary 54
Review Questions and Exercises 56
References 63
3 Some Basic Probability Concepts 65
3.1 Introduction 66
3.2 Two Views of Probability: Objective and Subjective 66
3.3 Elementary Properties of Probability 68
3.4 Calculating the Probability of an Event 69
3.5 Bayes' Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative 79
3.6 Summary 84
Review Questions and Exercises 86
References 91
4 Probability Distributions 93
4.1 Introduction 94
4.2 Probability Distributions of Discrete Variables 94
4.3 The Binomial Distribution 100
4.4 The Poisson Distribution 109
4.5 Continuous Probability Distributions 114
4.6 The Normal Distribution 117
4.7 Normal Distribution Applications 123
4.8 Summary 129
Review Questions and Exercises 131
References 134
5 Some Important Sampling Distributions 135
5.1 Introduction 136
5.2 Sampling Distributions 136
5.3 Distribution of the Sample Mean 137
5.4 Distribution of the Difference Between Two Sample Means 146
5.5 Distribution of the Sample Proportion 151
5.6Distribution of the Difference Between Two Sample Proportions 155
5.7 Summary 158
Review Questions and Exercises 159
References 161
6 Estimation 162
6.1 Introduction 163
6.2 Confidence Interval for a Population Mean 166
6.3 The t Distribution 172
6.4 Confidence Interval for the Difference Between Two Population Means 178
6.5 Confidence Interval for a Population Proportion 185
6.6 Confidence Interval for the Difference Between Two Population Proportions 187
6.7 Determination of Sample Size for Estimating Means 189
6.8 Determination of Sample Size for Estimating Proportions 192
6.9 Confidence Interval for the Variance of a Normally Distributed Population 194
6.10 Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations 199
6.11 Summary 203
Review Questions and Exercises 206
References 212
7 Hypothesis Testing 215
7.1 Introduction 216
7.2 Hypothesis Testing: A Single Population Mean 223
7.3 Hypothesis Testing: The Difference Between Two Population Means 237
7.4 Paired Comparisons 250
7.5 Hypothesis Testing: A Single Population Proportion 258
7.6 Hypothesis Testing: The Difference Between Two Population Proportions 262
7.7 Hypothesis Testing: A Single Population Variance 265
7.8 Hypothesis Testing: The Ratio of Two Population Variances 268
7.9 The Type II Error and the Power of a Test 273
7.10 Determining Sample Size to Control Type II Errors 278
7.11 Summary 281
Review Questions and Exercises 283
References 301
8 Analysis of Variance 305
8.1 Introduction 306
8.2 The Completely Randomized Design 308
8.3 The Randomized Complete Block Design 334
8.4 The Repeated Measures Design 346
8.5 The Factorial Experiment 353
8.6 Summary 368
Review Questions and Exercises 371
References 404
9 Simple Linear Regression and Correlation 409
9.1 Introduction 410
9.2 The Regression Model 410
9.3 The Sample Regression Equation 413
9.4 Evaluating the Regression Equation 423
9.5 Using the Regression Equation 437
9.6 The Correlation Model 441
9.7 The Correlation Coefficient 442
9.8 Some Precautions 455
9.9 Summary 456
Review Questions and Exercises 460
References 482
10 Multiple Regression and Correlation 485
10.1 Introduction 486
10.2 The Multiple Linear Regression Model 486
10.3 Obtaining the Multiple Regression Equation 488
10.4 Evaluating the Multiple Regression Equation 497
10.5 Using the Multiple Regression Equation 503
10.6 The Multiple Correlation Model 506
10.7 Summary 519
Review Questions and Exercises 521
References 533
11 Regression Analysis: Some Additional Techniques 535
11.1 Introduction 536
11.2 Qualitative Independent Variables 539
11.3 Variable Selection Procedures 556
11.4 Logistic Regression 565
11.5 Summary 575
Review Questions and Exercises 576
References 590
12 The ChiSquare Distribution and the Analysis of Frequencies 593
12.1 Introduction 594
12.2 The Mathematical Properties of the ChiSquare Distribution 594
12.3 Tests of GoodnessofFit 597
12.4 Tests of Independence 612
12.5 Tests of Homogeneity 623
12.6 The Fisher Exact Test 629
12.7 Relative Risk, Odds Ratio, and the MantelHaenszel Statistic 634
12.8 Survival Analysis 648
12.9 Summary 664
Review Questions and Exercises 666
References 678
13 Nonparametric and DistributionFree Statistics 683
13.1 Introduction 684
13.2 Measurement Scales 685
13.3 The Sign Test 686
13.4 The Wilcoxon SignedRank Test for Location 694
13.5 The Median Test 699
13.6 The MannWhitney Test 703
13.7 The KolmogorovSmirnov GoodnessofFit Test 711
13.8 The KruskalWallis OneWay Analysis of Variance by Ranks 717
13.9 The Friedman TwoWay Analysis of Variance by Ranks 725
13.10 The Spearman Rank Correlation Coefficient 731
13.11 Nonparametric Regression Analysis 740
13.12 Summary 743
Review Questions and Exercises 745
References 760
14 Vital Statistics 763
14.1 Introduction 764
14.2 Death Rates and Ratios 765
14.3 Measures of Fertility 772
14.4 Measures of Morbidity 776
14.5 Summary 777
Review Questions and Exercises 779
References 782
Appendix Statistical Tables A1
Answers to OddNumbered Exercises A106
Index I1
Recipe
1 Introduction to Biostatistics 1
1.1 Introduction 2
1.2 Some Basic Concepts 2
1.3 Measurement and Measurement Scales 5
1.4 Sampling and Statistical Inference 7
1.5 The Scientific Method and the Design of Experiments 13
1.6 Computers and Biostatistical Analysis 15
1.7 Summary 16
Review Questions and Exercises 17
References 18
2 Descriptive Statistics 19
2.1 Introduction 20
2.2 The Ordered Array 20
2.3 Grouped Data: The Frequency Distribution 22
2.4 Descriptive Statistics: Measures of Central Tendency 38
2.5 Descriptive Statistics: Measures of Dispersion 43
2.6 Summary 54
Review Questions and Exercises 56
References 63
3 Some Basic Probability Concepts 65
3.1 Introduction 66
3.2 Two Views of Probability: Objective and Subjective 66
3.3 Elementary Properties of Probability 68
3.4 Calculating the Probability of an Event 69
3.5 Bayes' Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative 79
3.6 Summary 84
Review Questions and Exercises 86
References 91
4 Probability Distributions 93
4.1 Introduction 94
4.2 Probability Distributions of Discrete Variables 94
4.3 The Binomial Distribution 100
4.4 The Poisson Distribution 109
4.5 Continuous Probability Distributions 114
4.6 The Normal Distribution 117
4.7 Normal Distribution Applications 123
4.8 Summary 129
Review Questions and Exercises 131
References 134
5 Some Important Sampling Distributions 135
5.1 Introduction 136
5.2 Sampling Distributions 136
5.3 Distribution of the Sample Mean 137
5.4 Distribution of the Difference Between Two Sample Means 146
5.5 Distribution of the Sample Proportion 151
5.6Distribution of the Difference Between Two Sample Proportions 155
5.7 Summary 158
Review Questions and Exercises 159
References 161
6 Estimation 162
6.1 Introduction 163
6.2 Confidence Interval for a Population Mean 166
6.3 The t Distribution 172
6.4 Confidence Interval for the Difference Between Two Population Means 178
6.5 Confidence Interval for a Population Proportion 185
6.6 Confidence Interval for the Difference Between Two Population Proportions 187
6.7 Determination of Sample Size for Estimating Means 189
6.8 Determination of Sample Size for Estimating Proportions 192
6.9 Confidence Interval for the Variance of a Normally Distributed Population 194
6.10 Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations 199
6.11 Summary 203
Review Questions and Exercises 206
References 212
7 Hypothesis Testing 215
7.1 Introduction 216
7.2 Hypothesis Testing: A Single Population Mean 223
7.3 Hypothesis Testing: The Difference Between Two Population Means 237
7.4 Paired Comparisons 250
7.5 Hypothesis Testing: A Single Population Proportion 258
7.6 Hypothesis Testing: The Difference Between Two Population Proportions 262
7.7 Hypothesis Testing: A Single Population Variance 265
7.8 Hypothesis Testing: The Ratio of Two Population Variances 268
7.9 The Type II Error and the Power of a Test 273
7.10 Determining Sample Size to Control Type II Errors 278
7.11 Summary 281
Review Questions and Exercises 283
References 301
8 Analysis of Variance 305
8.1 Introduction 306
8.2 The Completely Randomized Design 308
8.3 The Randomized Complete Block Design 334
8.4 The Repeated Measures Design 346
8.5 The Factorial Experiment 353
8.6 Summary 368
Review Questions and Exercises 371
References 404
9 Simple Linear Regression and Correlation 409
9.1 Introduction 410
9.2 The Regression Model 410
9.3 The Sample Regression Equation 413
9.4 Evaluating the Regression Equation 423
9.5 Using the Regression Equation 437
9.6 The Correlation Model 441
9.7 The Correlation Coefficient 442
9.8 Some Precautions 455
9.9 Summary 456
Review Questions and Exercises 460
References 482
10 Multiple Regression and Correlation 485
10.1 Introduction 486
10.2 The Multiple Linear Regression Model 486
10.3 Obtaining the Multiple Regression Equation 488
10.4 Evaluating the Multiple Regression Equation 497
10.5 Using the Multiple Regression Equation 503
10.6 The Multiple Correlation Model 506
10.7 Summary 519
Review Questions and Exercises 521
References 533
11 Regression Analysis: Some Additional Techniques 535
11.1 Introduction 536
11.2 Qualitative Independent Variables 539
11.3 Variable Selection Procedures 556
11.4 Logistic Regression 565
11.5 Summary 575
Review Questions and Exercises 576
References 590
12 The ChiSquare Distribution and the Analysis of Frequencies 593
12.1 Introduction 594
12.2 The Mathematical Properties of the ChiSquare Distribution 594
12.3 Tests of GoodnessofFit 597
12.4 Tests of Independence 612
12.5 Tests of Homogeneity 623
12.6 The Fisher Exact Test 629
12.7 Relative Risk, Odds Ratio, and the MantelHaenszel Statistic 634
12.8 Survival Analysis 648
12.9 Summary 664
Review Questions and Exercises 666
References 678
13 Nonparametric and DistributionFree Statistics 683
13.1 Introduction 684
13.2 Measurement Scales 685
13.3 The Sign Test 686
13.4 The Wilcoxon SignedRank Test for Location 694
13.5 The Median Test 699
13.6 The MannWhitney Test 703
13.7 The KolmogorovSmirnov GoodnessofFit Test 711
13.8 The KruskalWallis OneWay Analysis of Variance by Ranks 717
13.9 The Friedman TwoWay Analysis of Variance by Ranks 725
13.10 The Spearman Rank Correlation Coefficient 731
13.11 Nonparametric Regression Analysis 740
13.12 Summary 743
Review Questions and Exercises 745
References 760
14 Vital Statistics 763
14.1 Introduction 764
14.2 Death Rates and Ratios 765
14.3 Measures of Fertility 772
14.4 Measures of Morbidity 776
14.5 Summary 777
Review Questions and Exercises 779
References 782
Appendix Statistical Tables A1
Answers to OddNumbered Exercises A106
Index I1
Customer Reviews
Most Helpful Customer Reviews
I am two months into course and book is very clear and well written. I'm not especially rough on books, but I did drop this book once. It is already coming apart. The cover is detached from the spine and front. Cost alot should not fall apart.

you CANNOT view it on your nook. you can only view it on your PC or MAC. note to self! I'm sure it will be fine on the computer but I was hoping that it would work on the Nook and up to current, there is no compatibility.

