The Practice of Statistics in the Life Sciences:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York
Macmillan Education
[2018]
New York WH Freeman |
| Edition: | Fourth edition |
| Subjects: | |
| Online Access: | Inhaltstext Inhaltsverzeichnis |
| Physical Description: | xxix, 729 Seiten Illustrationen, Diagramme 23.5 cm x 15.5 cm |
| ISBN: | 9781319187606 1319187609 |
Staff View
MARC
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Record in the Search Index
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| adam_text |
To the Instructor: About this Book viii
Acknowledgments xviii
Media and Supplements xix
To the Student: Statistical Thinking xxii
About the Authors xxix
Pa
Collecting and
Exploring Data
Chapter 1 Picturing Distributions
with Graphs
Individuals and variables
Identifying categorical and quantitative variables
Categorical variables: pie charts and bar graphs
Quantitative variables: histograms
Interpreting histograms
Quantitative variables: dotplots
Time plots
Discussion: (Mis)adventures in data entry
3
4
4
7
13
16
20
22
26
Chapter 2 Describing Quantitative
Distributions with Numbers 39
Measures of center: median, mean 40
Measures of spread: percentiles, standard deviation 45
Graphical displays of numerical summaries 50
Spotting suspected outliers* 53
Discussion: Dealing with outliers 55
Organizing a statistical problem 58
Chapter 4 Regression 93
The least'squares regression line 94
Facts about least-squares regression 99
Outliers and influential observations 102
Working with logarithm transformations* 105
Cautions about correlation and regression 107
Association does not imply causation 111
Chapter 5 Two-Way Tables* 123
Marginal distributions 124
Conditional distributions 126
Simpson’s paradox 131
Chapter 6 Samples and Observational
Studies 141
Observation versus experiment 141
Sampling 144
Sampling designs 146
Sample surveys 152
Cohorts and case-control studies 155
Chapter 7 Designing Experiments 165
Designing experiments 165
Randomized comparative experiments 168
Common experimental designs 173
Cautions about experimentation 178
Ethics in experimentation 182
Discussion: The Tuskegee syphilis study 185
Chapter 3 Scatterplots and
Correlation 67
Explanatory and response variables 67
Relationship between two quantitative variables:
scatterplots 69
Adding categorical variables to scatterplots 75
Measuring linear association: correlation 78
Chapter 8 Collecting and Exploring
Data: Part I Review 197
Part I summary 199
Comprehensive review exercises 202
Large data sets exercises 207
Online data sources 210
EESEE case studies 210
♦Starred material is optional
hr
CONTENTS
V
; From Chance
r to Inference
Chapter 9 Essential Probability
t Rules 215
The idea of probability 215
Probability models 220
Probability rules 222
Discrete versus continuous probability models 224
,/ Random variables 229
Risk and Odds* 232
Chapter 10 Independence and
Conditional Probabilities* 241
Relationships among several events 241
Conditional probability 245
General probability rules 248
I Tree diagrams 254
Bayes’s theorem 258
Discussion: Making sense of conditional probabilities
\ in diagnostic tests 262
Chapter 11 The Normal Distributions 271
Normal distributions 271
The 68-95-99 7 rule 274
The standard Normal distribution 276
Finding Normal probabilities 278
; Finding percentiles 282
Using the standard Normal table* 285
Normal quantile plots* 288
Chapter 12 Discrete Probability
Distributions* 299
The binomial setting and binomial distributions 299
Binomial probabilities 301
Binomial mean and standard deviation 305
The Normal approximation to binomial distributions 308
The Poisson distributions 310
Poisson probabilities 312
Chapter 13 Sampling Distributions 323
Parameters and statistics 324
Statistical estimation and sampling distributions 325
The sampling distribution of x 329
The central limit theorem 332
The sampling distribution of p 336
The law of large numbers* 340
Chapter 14 Introduction to Inference 347
Statistical estimation 348
Margin of error and confidence level 350
Confidence intervals for the mean ft 353
Hypothesis testing 356
P-value and statistical significance 358
Tests for a population mean 364
Tests from confidence intervals 367
Chapter 15 Inference in Practice 375
Conditions for inference in practice 376
How confidence intervals behave 379
How hypothesis tests behave 383
Discussion: The scientific approach 388
Planning studies: selecting an appropriate sample size* 391
Chapter 16 From Chance to Inference:
Part II Review 403
Part II summary 405
Comprehensive review exercises 408
Advanced topics (optional material) 410
Online data sources 413
EESEE case studies 413
mssm
Statistical Inference
Chapter 17 Inference about a
Population Mean 417
Conditions for inference 417
The t distributions 419
The one-sample t confidence interval 421
The one-sample t test 426
Matched pairs t procedures 430
Robustness of t procedures 435
Chapter 18 Comparing Two Means 445
Comparing two population means 445
Two-sample t procedures 449
Robustness again 460
Avoid the pooled two-sample t procedures* 462
Avoid inference about standard deviations* 462
vi
CONTENTS
Chapter 19 Inference about a
Population Proportion 473
The sample proportion p 474
Large-sample confidence intervals for a proportion 476
Accurate confidence intervals for a proportion 480
Choosing the sample size* 482
Hypothesis tests for a proportion 484
Chapter 20 Comparing Two
Proportions 495
Two-sample problems: proportions 495
The sampling distribution of a difference
between proportions 496
Large-sample confidence intervals for comparing
proportions 497
Accurate confidence intervals for comparing
proportions 501
Hypothesis tests for comparing proportions 504
Relative risk and odds ratio* 508
Discussion: Assessing and understanding health risks 514
Chapter 24 One-Way Analysis of
Variance: Comparing
Several Means 605
Comparing several means 605
The F statistic 609
The analysis of variance F test 611
Conditions for ANOVA 617
Details of ANOVA calculations* 621
Chapter 25 Statistical Inference:
Part III Review 635
Essential concepts from Parts I and II 635
Part III summary 637
Comprehensive review exercises: inference
selection 641
Comprehensive review exercises: analysis
and conclusion 643
Large data set exercises 648
Online data sources 650
EESEE case studies 650
Chapter 21 The Chi-Square Test
for Goodness of Fit 525
Hypotheses for goodness of fit 525
Expected counts and chi-square statistic 528
The chi-square test for goodness of fit 530
Interpreting significant chi-square results 534
Conditions for the chi-square test 536
Chapter 22 The Chi-Square Test
for Two-Way Tables 545
Two-way tables 545
Hypotheses for two-way tables of counts 548
Expected counts and chi-square statistic 549
The chi-square test 555
Conditions for the chi-square test 557
The chi-square test and the two-sample z test* 561
Chapter 23 Inference for Regression 573
The regression parameters 575
Testing the hypothesis of no linear relationship 580
Testing lack of correlation* 583
Confidence intervals for the regression slope 586
Inference about prediction 587
Checking the conditions for inference 591
Notes and Data Sources 651
Tables 683
TABLE A: Random Digits 684
TABLE B: Standard Normal Probabilities 685
TABLE C: t Distribution Critical Values 687
TABLE D: Chi-square Distribution Critical Values 688
TABLE E: Critical Values of the Correlation r 689
TABLE F: F Distribution Critical Values 690
Answers to Selected Exercises 695
Some Studies Recurring Across Chapters 721
Index 723
Symbols 729
Optional Companion
Chapters (available on the
PSLS 4e Companion Website)
Chapter 26 More about Analysis of
Variance: Follow-up Tests
and Two-Way ANOVA 26-1
Beyond one-way ANOVA 26-1
Follow-up analysis: Tukey pairwise multiple
comparisons 26-3
CONTENTS
vii
llow-up analysis: contrasts* 26-8
wo-way ANOVA: conditions, main effects,
and interaction 26-12
Inference for two-way ANOVA 26-19
Some details of two-way ANOVA* 26-27
Chapter 27 Nonparametric Tests 27-1
Comparing two samples: the Wilcoxon rank
sum test 27-3
Matched pairs: the Wilcoxon signed rank test 27-15
Comparing several samples: the Kruskal-Wallis
test 27-23
Chapter 28 Multiple and Logistic
Regression 28-1
Parallel regression lines 28-2
Estimating parameters 28-6
Using technology 28-8
Conditions for inference 28-13
Inference for multiple regression 28-16
Interaction 28-23
A case study for multiple regression 28-29
Logistic regression 28-36 |
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| discipline | Biologie Mathematik |
| edition | Fourth edition |
| format | Book |
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| physical | xxix, 729 Seiten Illustrationen, Diagramme 23.5 cm x 15.5 cm |
| publishDate | 2018 |
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| spelling | Baldi, Brigitte Verfasser aut The Practice of Statistics in the Life Sciences Brigitte Baldi (University of California, Irvine), David S. Moore (Purdue University) Fourth edition New York Macmillan Education [2018] New York WH Freeman xxix, 729 Seiten Illustrationen, Diagramme 23.5 cm x 15.5 cm txt rdacontent n rdamedia nc rdacarrier Biowissenschaften (DE-588)4129772-6 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf PBT Practice of Statistics in the Life Sciences Life Science Stats Statistics David S. Moore Brigitte Baldi Biowissenschaften (DE-588)4129772-6 s Statistik (DE-588)4056995-0 s Datenanalyse (DE-588)4123037-1 s DE-604 Biologie (DE-588)4006851-1 s 1\p DE-604 Moore, David S. Verfasser (DE-588)135745551 aut Erscheint auch als Online-Ausgabe 978-1-319-00326-5 X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=191b3728df974a6889406db5ba3a3ee9&prov=M&dok_var=1&dok_ext=htm Inhaltstext HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030301909&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Baldi, Brigitte Moore, David S. The Practice of Statistics in the Life Sciences Biowissenschaften (DE-588)4129772-6 gnd Datenanalyse (DE-588)4123037-1 gnd Biologie (DE-588)4006851-1 gnd Statistik (DE-588)4056995-0 gnd |
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| title | The Practice of Statistics in the Life Sciences |
| title_auth | The Practice of Statistics in the Life Sciences |
| title_exact_search | The Practice of Statistics in the Life Sciences |
| title_full | The Practice of Statistics in the Life Sciences Brigitte Baldi (University of California, Irvine), David S. Moore (Purdue University) |
| title_fullStr | The Practice of Statistics in the Life Sciences Brigitte Baldi (University of California, Irvine), David S. Moore (Purdue University) |
| title_full_unstemmed | The Practice of Statistics in the Life Sciences Brigitte Baldi (University of California, Irvine), David S. Moore (Purdue University) |
| title_short | The Practice of Statistics in the Life Sciences |
| title_sort | the practice of statistics in the life sciences |
| topic | Biowissenschaften (DE-588)4129772-6 gnd Datenanalyse (DE-588)4123037-1 gnd Biologie (DE-588)4006851-1 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Biowissenschaften Datenanalyse Biologie Statistik |
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