Statistical methods in biology:
"Generations of biologists have relied upon this useful book, which presents the basic concepts of statistics lucidly and convincingly. It recognises that students must be aware of when to use the standard techniques and how to apply the results they obtain. The reasoning behind the more import...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cambridge [u.a.]
Cambridge Univ. Press
1995
|
| Ausgabe: | 3. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Zusammenfassung: | "Generations of biologists have relied upon this useful book, which presents the basic concepts of statistics lucidly and convincingly. It recognises that students must be aware of when to use the standard techniques and how to apply the results they obtain. The reasoning behind the more important procedures is carefully explained. Since many biologists do not have a strong mathematical background, the arguments are gauged in terms which can be easily understood by those with only an elementary knowledge of algebra. Unlike many other introductory books, mathematical derivations are avoided and formulae are only used as a convenient shorthand. Although the subject is presented with great simplicity, the coverage is wide and will satisfy the needs of those working in many disciplines."--BOOK JACKET. |
| Beschreibung: | XIII, 255 S. graph. Darst. |
| ISBN: | 052146983X 0521470323 |
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Datensatz im Suchindex
| _version_ | 1804124684956991488 |
|---|---|
| adam_text | STATISTICAL
METHODS
IN BIOLOGY
Third Edition
Norman T J Bailey, MA,D Sc
CAMBRIDGE
UNIVERSITY PRESS
Contents
Preface page xi
1 Introduction 1
2 Variability and frequency distributions 7
2 1 The normal distribution 7
2 2 The binomial distribution 12
2 3 The Poisson distribution 15
2 4 Other distributions 16
2 5 Means and variances: basic calculations 17
3 Estimation, standard errors and confidence
limits 24
3 1 Sampling variation 24
3 2 The normal distribution 26
3 3 The binomial distribution 28
3 4 The Poisson distribution 29
4 The basic idea of a significance test 31
5 Simple significance tests based on the normal
distribution 38
5 1 Comparison with a known standard 38
5 2 Comparison of means of two large
samples 40
vii
Vlll CONTENTS
5 3 The normal approximations to binomial
and Poisson distributions 43
5 4 One- and two-tailed tests 47
6 The use of f-tests for small samples 50
6 1 The importance of small samples 50
6 2 Comparison of sample mean with a
standard (variance unknown) 51
6 3 Comparison of means of two small
samples (unknown variances assumed
equal) 55
6 4 Confidence limits 57
6 5 Comparison of means of two small
samples (unknown variances not assumed
equal) 58
7 Contingency tables and x2 61
7 1 Contingency tables 61
7 2 Special case of a table with only two
rows 66
7 3 Special case of 2x2 tables 68
7 4 Exact test for 2x2 tables 71
7 5 Some fallacies in interpreting contingency
tables 75
8 jf2-tests of goodness-of-fit and homogeneity 77
8 1 Introduction to general idea 77
8 2 Testing the fit of a whole frequency
distribution to data 79
8 3 Tests of homogeneity 82
8 4 Small samples from the normal, binomial
and Poisson distributions 83
8 5 The additive property of x2 and the
normal approximation 85
8 6 The meaning of very small x2 values 87
9 The correlation of measurements 89
9 1 The general notion of correlation 89
9 2 The calculation of an estimated
correlation coefficient 92
CONTENTS ix
9 3 Significance tests for correlation
coefficients 98
9 4 General comments 101
10 Regression analysis 104
10 1 The basic idea of regression 104
10 2 The calculation of regression
coefficients 108
10 3 Standard errors and significance tests 111
11 Simple experimental design and the analysis of
variance 115
11 1 Introduction 115
11 2 Completely randomised designs 117
11 3 Randomised block designs 124
11 4 Testing the homogeneity of variances 130
11 5 General remarks 132
12 Introduction to factorial experiments 134
12 1 The factorial principle 134
12 2 Basic ideas and notation in the 2
factorial 136
12 3 The analysis of variance for a 2
factorial 138
12 4 The scope of more advanced designs 143
13 Random samples and random numbers 146
13 1 The need for random selection 146
13 2 The use of random numbers 150
13 3 Surveys and censuses 153
14 Partial correlation and multiple regression 156
14 1 Introduction 156
14 2 Partial correlation 157
14 3 Multiple regression with two independent
variables 161
14 4 Multiple regression with more than two
independent variables 166
15 Non-parametric and distribution-free tests 172
15 1 Introduction 172
X CONTENTS
15 2 Paired comparisons
15 3 Sign tests
15 4 Wilcoxon s signed rank sum test for one
sample
15 5 Wilcoxon s rank sum test for two
samples
15 6 Rank correlation
15 7 Concluding discussion
16 Notes on numerical calculation, calculators
and computers
16 1 Introduction
16 2 How to avoid mistakes
16 3 Relative numerical accuracy
16 4 The precision of results and standard
errors
16 5 Choosing calculators and computers
Suggestions for more advanced reading
Summary of statistical formulae
Appendix tables
Index
|
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| discipline | Biologie |
| edition | 3. ed. |
| format | Book |
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| id | DE-604.BV010270599 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T17:49:35Z |
| institution | BVB |
| isbn | 052146983X 0521470323 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006832187 |
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| physical | XIII, 255 S. graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| publisher | Cambridge Univ. Press |
| record_format | marc |
| spelling | Bailey, Norman T. J. Verfasser aut Statistical methods in biology Norman T. J. Bailey 3. ed. Cambridge [u.a.] Cambridge Univ. Press 1995 XIII, 255 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier "Generations of biologists have relied upon this useful book, which presents the basic concepts of statistics lucidly and convincingly. It recognises that students must be aware of when to use the standard techniques and how to apply the results they obtain. The reasoning behind the more important procedures is carefully explained. Since many biologists do not have a strong mathematical background, the arguments are gauged in terms which can be easily understood by those with only an elementary knowledge of algebra. Unlike many other introductory books, mathematical derivations are avoided and formulae are only used as a convenient shorthand. Although the subject is presented with great simplicity, the coverage is wide and will satisfy the needs of those working in many disciplines."--BOOK JACKET. Biométrie ram Estatistica aplicada as ciencias biologicas larpcal Biometry Methode (DE-588)4038971-6 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf Biostatistik (DE-588)4729990-3 s Methode (DE-588)4038971-6 s 1\p DE-604 HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=006832187&sequence=000002&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 | Bailey, Norman T. J. Statistical methods in biology Biométrie ram Estatistica aplicada as ciencias biologicas larpcal Biometry Methode (DE-588)4038971-6 gnd Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4038971-6 (DE-588)4729990-3 |
| title | Statistical methods in biology |
| title_auth | Statistical methods in biology |
| title_exact_search | Statistical methods in biology |
| title_full | Statistical methods in biology Norman T. J. Bailey |
| title_fullStr | Statistical methods in biology Norman T. J. Bailey |
| title_full_unstemmed | Statistical methods in biology Norman T. J. Bailey |
| title_short | Statistical methods in biology |
| title_sort | statistical methods in biology |
| topic | Biométrie ram Estatistica aplicada as ciencias biologicas larpcal Biometry Methode (DE-588)4038971-6 gnd Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | Biométrie Estatistica aplicada as ciencias biologicas Biometry Methode Biostatistik |
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