Biomeasurement: a student's guide to biological statistics
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Oxford [u.a.]
Oxford Univ. Press
2009
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XXVIII, 337 S. Ill., zahlr. graph. Darst. |
| ISBN: | 9780199219995 |
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Datensatz im Suchindex
| _version_ | 1804138859190026241 |
|---|---|
| adam_text | BIOMEASUREMENT A STUDENT S GUIDE TO BIOLOGICAL STATISTICS Y DAWN HAWKINS
SENIOR LECTURER, ANGLIA RUSKIN UNIVERSITY OXFORD UNIVERSITY PRESS
CONTENTS USING THIS BOOK XXIV 1 WHY AM I READING THIS BOOK? BOOK AND
CHAPTER AIMS 1 1.1 MY LECTURER IS A SADIST! 1 1.2 DOING SCIENCE: THE BIG
PICTURE 3 1.2.1 DESCRIPTIVE QUESTIONS 3 1.2.2 QUESTIONS ANSWERED USING A
RESEARCH HYPOTHESIS 4 STAGE 1: DEVELOPING RESEARCH HYPOTHESES 4 STAGE 2:
GENERATING PREDICTIONS 5 STAGE 3: TESTING PREDICTIONS 6 1.3 THE PROCESS
IN PRACTICE 7 1.4 ESSENTIAL SKILLS FOR DOING SCIENCE 8 1.4.1 ANALYSING
DATA 8 1.4.2 DEVELOPING HYPOTHESES AND PREDICTIONS 8 1.4.3 EXPERIMENTAL
DESIGN 8 1.4.4 TAKING MEASUREMENTS 9 1.4.5 CRITICAL EVALUATION 9 1.4.6
HEALTH, SAFETY, AND ETHICAL ASSESSMENT 10 1.5 TYPES OF DATA ANALYSIS 10
CHECKLIST OF KEY POINTS 11 SELF-HELP QUESTIONS 12 2 GETTING TO GRIPS
WITH THE BASICS CHAPTER AIMS 13 2.1 POPULATIONS AND SAMPLES 13 2.1.1 THE
SAMPLING PROCESS 14 SAMPLE SIZE 15 REPLICATION AND PSEUDOREPLICATION 15
RANDOM SAMPLING AND BIAS 16 2.1.2 SAMPLE ERROR 16 XIV CONTENTS 2.2 2.3
2.4 VARIATION AND VARIABLES 2.2.1 IDENTIFYING VARIABLES 2.2.2 DEPENDENT
AND INDEPENDENT VARIABLES 2.2.3 MANIPULATED VERSUS NATURAL VARIATION IN
INDEPENDENT VARIABLES 2.2.4 LACK OF INDEPENDENCE BETWEEN VARIABLES
UNDERSTANDING DATA 2.3.1 RELATED AND UNRELATED DATA RELATED DATA:
REPEATED AND MATCHED UNRELATED DATA DISTINGUISHING RELATED AND UNRELATED
DATA 2.3.2 LEVELS OF MEASUREMENT NOMINAL (CATEGORIES) ORDINAL (RANKS)
SCALE (COUNTS AND MEASURES) DEMYSTIFYING FORMULAE 2.4.1 SQUIGGLES,
LINES, AND LETTERS 2.4.2 DOING THINGS IN ORDER CHECKLIST OF KEY POINTS
SELF-HELP QUESTIONS 18 19 20 21 22 22 23 23 25 26 26 26 27 27 28 28 30
30 31 3 DESCRIBING A SINGLE SAMPLE 35 35 36 36 36 37 38 38 38 39 39 42
43 43 44 46 48 48 3.4 PIES, BOXES, AND ERRORS 48 3.4.1 PIE CHARTS AS
ALTERNATIVES TO FREQUENCY-DISTRIBUTION CHARTS 49 3.4.2 UNDERSTANDING
BOXPLOTS 49 3.4.3 INTRODUCING ERROR BARS 50 CHAPTER AIMS 3.1 THE SINGLE
SAMPLE 3.2 DESCRIPTIVE STATISTICS 3.2.1 3.2.2 CENTRAL TENDENCY MEAN
MEDIAN MODE VARIABILITY RANGE INTERQUARTILE RANGE VARIANCE STANDARD
DEVIATION 3.3 FREQUENCY DISTRIBUTIONS 3.3.1 3.3.2 3.3.3 3.3.4 3.3.5 FOR
NOMINAL, ORDINAL, AND DISCRETE SCALE DATA FOR CONTINUOUS SCALE DATA THE
NORMAL DISTRIBUTION DISCRETE DATA AND THE NORMAL DISTRIBUTION OTHER
DISTRIBUTIONS CONTENTS XV 3.5 EXAMPLE DATA: RANGER PATROL TUSK RECORDS
51 3.6 WORKED EXAMPLE: USING SPSS 53 3.6.1 DESCRIPTIVE STATISTICS AND
FREQUENCY DISTRIBUTIONS 53 FOR NOMINAL, ORDINAL, AND DISCRETE SCALE DATA
53 FOR CONTINUOUS SCALE DATA 55 3.6.2 PIE CHARTS 61 3.6.3 BOXPLOTS 61
CHECKLIST OF KEY POINTS 63 SELF-HELP QUESTIONS 64 4 INFERRING AND
ESTIMATING CHAPTER AIMS 67 4.1 OVERVIEW OF INFERENTIAL STATISTICS 67
4.1.1 WHY WE NEED INFERENTIAL STATISTICS-A REMINDER 67 4.1.2 UNCERTAINTY
AND PROBABILITY 68 4.2 INFERRING THROUGH ESTIMATION 69 4.2.1 STANDARD
ERROR (OF THE MEAN) 70 4.2.2 CONFIDENCE INTERVALS (OF THE MEAN) 71 4.2.3
ERROR BARS REVISITED 73 4.2.4 COMPARING SAMPLES 74 4.3 EXAMPLE DATA:
GROUND SQUIRRELS 75 4.4 WORKED EXAMPLE: USING SPSS 76 4.4.1 STANDARD
ERROR AND CONFIDENCE INTERVALS 76 4.4.2 ERRORPLOTS 78 CHECKLIST OF KEY
POINTS 81 SELF-HELP QUESTIONS 82 5 OVERVIEW OF HYPOTHESIS TESTING
CHAPTER AIMS 85 5.1 FOUR STEPS OF (STATISTICAL) HYPOTHESIS TESTING 85
5.1.1 CONSTRUCT A (STATISTICAL) NULL HYPOTHESIS 86 5.1.2 DECIDE ON A
CRITICAL SIGNIFICANCE LEVEL 88 5.1.3 CALCULATE YOUR STATISTIC 88 5.1.4
REJECT OR ACCEPT THE NULL HYPOTHESIS 89 STEP 4: USING CRITICAL-VALUE
TABLES 89 STEP 4: USING P VALUES ON COMPUTER OUTPUT 89 5.2 ERROR AND
POWER 91 5.2.1 IMPLICATIONS FOR DECISION MAKING 92 5.2.2 IMPLICATIONS
FOR BIOLOGICAL SIGNIFICANCE 92 XVI CONTENTS 5.3 PARAMETRIC AND
NONPARAMETRIC 92 5.3.1 COMPARISON OF PARAMETRIC AND NONPARAMETRIC 92
5.3.2 CHECKING CRITERIA FOR PARAMETRIC TESTS USING THE NORMAL
DISTRIBUTION 93 5.3.3 CHOOSING BETWEEN PARAMETRIC AND NONPARAMETRIC 94
5.3.4 TRANSFORMATION 94 5.4 ONE- AND TWO-TAILED TESTS 95 CHECKLIST OF
KEY POINTS 96 SELF-HELP QUESTIONS 97 6 TESTS ON FREQUENCIES CHAPTER AIMS
99 6.1 INTRODUCTION TO CHI-SQUARE TESTS 99 6.1.1 ONLY USE FREQUENCY DATA
99 6.1.2 TYPES OF CHI-SQUARE TEST 100 6.1.3 WHEN TO USE CHI-SQUARE WITH
CAUTION 102 6.1.4 ALTERNATIVES TO CHI-SQUARE TESTS 102 6.1.5 NAMES AND
SYMBOLS FOR THE CHI-SQUARE STATISTIC 103 6.2 EXAMPLE DATA 103 6.2.1
ONE-WAY CLASSIFICATION: MENDEL S PEAS 103 6.2.2 TWO-WAY CLASSIFICATION:
MIKUMI S ELEPHANTS 105 6.3 ONE-WAY CLASSIFICATION CHI-SQUARE TEST 107
6.3.1 WHEN TO USE 107 6.3.2 FOUR STEPS 108 USING CRITICAL-VALUE TABLES
109 USING P VALUES ON COMPUTER OUTPUT 109 6.3.3 WORKED EXAMPLES: BY HAND
109 WITH EXPECTED ACCORDING TO A 1:1:1:1 MENDELIAN RATIO (TEST OF
HOMOGENEITY) 110 WITH EXPECTED ACCORDING TO A 9:3:3:1 MENDELIAN RATIO
111 6.3.4 WORKED EXAMPLE: USING SPSS 112 WITH EXPECTED ACCORDING TO A
1:1:1:1 MENDELIAN RATIO (TEST OF HOMOGENEITY) 112 WITH EXPECTED
ACCORDINGTO A 9:3:3:1 MENDELIAN RATIO 115 6.3.5 LITERATURE LINK: WEARY
LETTUCES 117 6.4 TWO-WAY CLASSIFICATION CHI-SQUARE TEST 118. 6.4.1 WHEN
TO USE 118 6.4.2 FOUR STEPS 119 USING CRITICAL-VALUE TABLES 120 USING P
VALUES ON COMPUTER OUTPUT 120 6.4.3 WORKED EXAMPLE: BY HAND 121 6.4.4
WORKED EXAMPLE: USING SPSS 122 6.4.5 LITERATURE LINK: TREATMENT
ALLIANCE 126 CHECKLIST OF KEY POINTS 128 SELF-HELP QUESTIONS 129
CONTENTS XVII 7 TESTS OF DIFFERENCE: TWO UNRELATED SAMPLES CHAPTER AIMS
133 7.1 INTRODUCTION TO THE T- AND MANN-WHITNEY U TESTS 133 7.1.1
VARIABLES AND LEVELS OF MEASUREMENT NEEDED 133 7.1.2 COMPARISON OFT-AND
MANN-WHITNEY U TESTS 134 7.1.3 THE T-TEST AND THE PARAMETRIC CRITERIA .
134 7.1.4 ALTERNATIVES TOT-AND MANN-WHITNEY U TESTS 135 7.2 EXAMPLE
DATA: DEM BONES 135 7.3 T-TEST 137 7.3.1 WHEN TO USE 137 7.3.2 FOUR
STEPS OF A T-TEST 138 USING CRITICAL-VALUE TABLES 139 USING P VALUES ON
COMPUTER OUTPUT 139 7.3.3 WORKED EXAMPLE: BY HAND 139 7.3.4 WORKED
EXAMPLE: USING SPSS 141 7.3.5 LITERATURE LINK: SILICON AND SORGHUM 143
7.4 MANN-WHITNEY U TEST 145 7.4.1 WHEN TO USE 145 7.4.2 FOUR STEPS OF
MANN-WHITNEY U TEST 145 USING CRITICAL-VALUE TABLES 146 USING P VALUES
ON COMPUTER OUTPUT 147 7.4.3 WORKED EXAMPLE: BY HAND * 147 7.4.4 WORKED
EXAMPLE: USING SPSS 150 7.4.5 LITERATURE LINK: ALZHEIMER S DISEASE 152
CHECKLIST OF KEY POINTS 153 SELF-HELP QUESTIONS 154 8 TESTS OF
DIFFERENCE: TWO RELATED SAMPLES CHAPTER AIMS 157 8.1 INTRODUCTION TO
PAIRED T- AND WILCOXON SIGNED-RANK TESTS 157 8.1.1 VARIABLES AND LEVELS
OF MEASUREMENT NEEDED 158 8.1.2 COMPARISON OF PAIRED T- AND WILCOXON
SIGNED-RANK TESTS 158 8.1.3 THE PAIRED T-TEST AND THE PARAMETRIC
CRITERIA 159 8.1.4 ALTERNATIVES TO, AND EXTENSIONS OF, THE PAIRED T- AND
WILCOXON SIGNED-RANK TESTS 159 8.2 EXAMPLE DATA: BIGHORN EWES 160 8.3
PAIRED T-TEST 162 8.3.1 WHEN TO USE 163 8.3.2 FOUR STEPS OF A PAIRED
T-TEST 163 USING CRITICAL-VALUE TABLES 164 USING P VALUES ON COMPUTER
OUTPUT 164 XVIII . CONTENTS 8.3.3 WORKED EXAMPLE: BY HAND 164 8.3.4
WORKED EXAMPLE: USING SPSS 166 8.3.5 LITERATURE LINK: SLUG SLIME 169 8.4
WILCOXON SIGNED-RANK TEST 170 8.4.1 WHEN TO USE 170 8.4.2 FOUR STEPS OF
A WILCOXON SIGNED-RANK TEST 171 USING CRITICAL-VALUE TABLES 172 USING P
VALUES ON COMPUTER OUTPUT 173 8.4.3 WORKED EXAMPLE: BY HAND 173 8.4.4
WORKED EXAMPLE: USING SPSS 175 8.4.5 LITERATURE LINK: HEAD INJURIES 176
CHECKLIST OF KEY POINTS 178 SELF-HELP QUESTIONS 178 9 TESTS OF
DIFFERENCE: MORE THAN TWO SAMPLES CHAPTER AIMS 181 9.1 INTRODUCTION TO
ONE-WAY AND KRUSKAL-WALLIS ANOVA TESTS 181 9.1.1 VARIABLES AND LEVELS OF
MEASUREMENT NEEDED 182 9.1.2 COMPARISON OF ONE-WAY AND KRUSKAL-WALLIS
ANOVAS 183 9.1.3 ONE-WAY ANOVA AND THE PARAMETRIC CRITERIA 183 9.1.4
ALTERNATIVES TO, AND EXTENSIONS OF, ONE-WAY AND KRUSKAL-WALLIS ANOVAS
184 9.1.5 THE LANGUAGE OF ANOVA 184 9.1.6 MULTIPLE COMPARISONS 185 9.2
EXAMPLE DATA: NITROGEN LEVELS IN REEDS 185 9.3 ONE-WAY ANOVA TEST 187
9.3.1 WHEN TO USE 188 9.3.2 FOUR STEPS OF A ONE-WAY ANOVA 188 USING
CRITICAL-VALUE TABLES 190 USING P VALUES ON COMPUTER OUTPUT 190 9.3.3
WORKED EXAMPLE: USING SPSS 191 9.3.4 LITERATURE LINK: RUNNING RATS 193
9.4 KRUSKAL-WALLIS TEST 194 9.4.1 WHEN TO USE 194 9.4.2 FOUR STEPS OF A
KRUSKAL-WALLIS TEST 194 USING CRITICAL-VALUE TABLES 195 USING P VALUES
ON COMPUTER OUTPUT 196 9.4.3 WORKED EXAMPLE: USING SPSS 196 9.4.4
LITERATURE LINK: COOPERATING LONG-TAILED TITS 198 9.5 MODEL I AND MODEL
II ANOVA 199 CHECKLIST OF KEY POINTS 200 SELF-HELP QUESTIONS 200
CONTENTS XIX 10 TESTS OF RELATIONSHIP: REGRESSION CHAPTER AIMS 203 10.1
INTRODUCTION TO BIVARIATE LINEAR REGRESSION 203 10.1.1 VARIABLES AND
LEVELS OF MEASUREMENT NEEDED 204 10.1.2 LINEAR MODEL: SCARY-NOT! 205
10.1.3 THE THREE REGRESSION QUESTIONS 206 10.1.4 ADDED EXTRAS: HOW MUCH
IS EXPLAINED, AND PREDICTION 206 10.1.5 REGRESSION AND THE PARAMETRIC
CRITERIA 208 10.1.6 ALTERNATIVES TO, AND EXTENSIONS OF, BIVARIATE LINEAR
REGRESSION AND ANOVA 208 10.2 EXAMPLE DATA: SPECIES RICHNESS 209 10.3
REGRESSION TEST 211 10.3.1 WHEN TO USE 211 10.3.2 FOUR STEPS OF A
REGRESSION TEST 211 USING CRITICAL-VALUE TABLES 212 USING P VALUES ON
COMPUTER OUTPUT 213 10.3.3 WORKED EXAMPLE: USING SPSS FOR A REGRESSION
TEST 214 10.3.4 WORKED EXAMPLE: USING SPSS TO GET THE ADDED EXTRAS 216
10.3.5 REPORTING BIVARIATE LINEAR REGRESSION RESULTS 218 10.3.6
LITERATURE LINK: NODULES 219 10.4 MODEL I AND MODEL II REGRESSION 220
CHECKLIST OF KEY POINTS , 221 SELF-HELP QUESTIONS 222 11 TESTS OF
RELATIONSHIP: CORRELATION CHAPTER AIMS 225 11.1 INTRODUCTION TO THE
PEARSON AND SPEARMAN CORRELATION TESTS 225 11.1.1 VARIABLES AND LEVELS
OF MEASUREMENT NEEDED 227 11.1.2 COMPARISON OF PEARSON S AND SPEARMAN S
TESTS 228 11.1.3 PEARSON AND THE PARAMETRIC CRITERIA 229 11.1.4 THE
CORRELATION COEFFICIENT 229 11.1.5 PARTIAL, MULTIPLE, AND MULTIVARIATE
CORRELATION 230 11.2 EXAMPLE DATA: EYEBALLS 230 11.3 PEARSON CORRELATION
TEST 233 11.3.1 WHEN TO USE 233 11.3.2 FOUR STEPS OF A PEARSON
CORRELATION TEST 234 USING CRITICAL-VALUE TABLES 235 USING P VALUES ON
COMPUTER OUTPUT 235 11.3.3 WORKED EXAMPLE: USING SPSS 235 11.3.4
LITERATURE LINK: MALE SACRIFICE 238 XX CONTENTS 11.4 SPEARMAN
CORRELATION TEST 239 11.4.1 WHEN TO USE 239 11.4.2 FOUR STEPS OF A
SPEARMAN CORRELATION TEST 239 USING CRITICAL-VALUE TABLES 240 USING P
VALUES ON COMPUTER OUTPUT 241 11.4.3 WORKED EXAMPLE: USING SPSS 241
11.4.4 LITERATURE LINK: DEFOLIATING RYEGRASS 243 11.5 COMPARISON OF
CORRELATION AND REGRESSION 244 CHECKLIST OF KEY POINTS 245 SELF-HELP
QUESTIONS 246 12 INTRODUCING THE GENERALIZED LINEAR MODEL CHAPTER AIMS
249 12.1 INTRODUCTION TO THE GENERAL LINEAR MODEL 249 12.1.1 VARIABLES
AND LEVELS OF MEASUREMENT 251 12.1.2 THE LINEAR MODEL REVISITED 251
12.1.3 THE LANGUAGE OF GLMS 255 12.1.4 QUESTIONS AND EXTRAS 256 12.1.5
TYPES OF SUM OF SQUARES 256 12.1.6 MODEL ASSUMPTIONS AND THE PARAMETRIC
CRITERIA 257 NORMALITY OF ERROR , 257 HOMOGENEITY OF VARIANCE 257
LINEARITY 258 12.2 EXAMPLE DATA: WATERED WILLOWS 260 12.3 USING THE
GENERAL LINEAR MODEL 262 12.3.1 WHEN TO USE 262 12.3.2 GLM AND THE FOUR
STEPS 262 12.3.3 WORKED EXAMPLE: USING SPSS 264 LOOKING AT THE MODEL
OVERALL (ANSWERING QUESTION 2A, SECTION 12.1.4) 265 LOOKING AT
INDIVIDUAL EXPLANATORY VARIABLES (ANSWERING QUESTION 2B, SECTION 12.1.4)
267 LOOKING AT R 2 (ANSWERING QUESTION 3, SECTION 12.1.4) 268 USING
COEFFICIENTS (ANSWERING QUESTION 1, SECTION 12.1.4) 269 USING
COEFFICIENTS (MAKING PREDICTIONS) 271 CHECKING MODEL ASSUMPTIONS 271
12.3.4 REPORTING RESULTS FROM GLM 274 12.3.5 LITERATURE LINK: BRAINS AND
BOOZE 275 12.4 INTERACTION 277 12.4.1 WORKED EXAMPLE: USING SPSS,
INTERACTION 278 12.5 RANDOM FACTORS AND MIXED MODELS 280 12.6 THE
MULTIPLE MODEL APPROACH 280 12.6.1 FINDING THE BEST MODEL 281 12.6.2
REPORT RESULTS FROM MULTIPLE MODELS 282 CONTENTS XXI 12.7 THE GENERAL
AND GENERALIZED LINEAR MODELS COMPARED 282 CHECKLIST OF KEY POINTS 284
SELF-HELP QUESTIONS 286 13 CHOOSING THE RIGHT TEST AND GRAPH CHAPTER
AIMS 289 13.1 INTRODUCTION TO CHOOSING 289 13.2 WHICH TEST? 290 13.3
WHICH GRAPH? 292 13.4 WORKED EXAMPLES: GRAPHS USING SPSS 293 13.4.1 PIE
CHARTS 294 13.4.2 BOXPLOTS 296 UNRELATED SAMPLES 296 RELATED SAMPLES 297
13.4.3 ERRORPLOTS 298 UNRELATED SAMPLES 298 RELATED SAMPLES 299 13.4.4
SCATTERPLOTS 300 CHECKLIST OF KEY POINTS 303 SELF-HELP QUESTIONS 304
ANSWERS TO SELF-HELP QUESTIONS CHAPTER 1 307 CHAPTER 2 307 CHAPTER 3 307
CHAPTER 4 308 CHAPTER 5 308 CHAPTER 6 308 CHAPTER 7 308 CHAPTER 8 309
CHAPTER 9 309 CHAPTER 10 309 CHAPTER 11 309 CHAPTER 12 309 CHAPTER 13
310 XXII CONTENTS APPENDIX I HOW TO ENTER DATA INTO SPSS NAME 311 TYPE,
WIDTH, AND DECIMALS 311 LABEL 311 VALUES 311 MISSING 311 COLUMNS 312
ALIGN 312 MEASURE 312 APPENDIX II STATISTICAL TABLES OF CRITICAL VALUES
T 313 T 314 U (LOWER) 315 U (HIGHER) 316 T (LOWER) 317 T (HIGHER) 318
F 319 H 320 R 321 R S 322 APPENDIX III SUMMARY GUIDANCE ON REPORTING
STATISTICAL RESULTS DESCRIPTIVE STATISTICS 323 STATISTICAL TESTS 323
APPENDIX IV STATISTICS AND EXPERIMENTAL DESIGN DESIGNS WITH CONTROL
GROUPS 325 BALANCED AND UNBALANCED DESIGNS 325 COMPLETELY RANDOMIZED
DESIGN 325 ONE-WAY OR ONE-FACTOR DESIGN 325 CONTENTS XXIII MULTIWAY OR
MULTIFACTOR DESIGN 325 FULLY CROSSED DESIGN 325 INCOMPLETE DESIGN 326
BLOCKING 326 PAIRED DESIGN 326 COVARIATE 326 WITHIN-SUBJECT DESIGN 326
SPLIT-PLOT DESIGN 326 SELECTED FURTHER READING NEXT STEPS ... 327 FOR
WHEN YOU ARE FEELING STRONGER... 328 REFERENCES 329 INDEX 333
|
| any_adam_object | 1 |
| author | Hawkins, Dawn |
| author_GND | (DE-588)1077774036 |
| author_facet | Hawkins, Dawn |
| author_role | aut |
| author_sort | Hawkins, Dawn |
| author_variant | d h dh |
| building | Verbundindex |
| bvnumber | BV035422022 |
| callnumber-first | Q - Science |
| callnumber-label | QH323 |
| callnumber-raw | QH323.5 |
| callnumber-search | QH323.5 |
| callnumber-sort | QH 3323.5 |
| callnumber-subject | QH - Natural History and Biology |
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| classification_tum | BIO 105f BIO 107f |
| ctrlnum | (OCoLC)259266626 (DE-599)BVBBV035422022 |
| dewey-full | 570.72/7 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.72/7 |
| dewey-search | 570.72/7 |
| dewey-sort | 3570.72 17 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| edition | 2. ed. |
| format | Book |
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| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV035422022 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T21:34:53Z |
| institution | BVB |
| isbn | 9780199219995 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-017342527 |
| oclc_num | 259266626 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM DE-20 DE-M49 DE-BY-TUM DE-11 |
| owner_facet | DE-19 DE-BY-UBM DE-20 DE-M49 DE-BY-TUM DE-11 |
| physical | XXVIII, 337 S. Ill., zahlr. graph. Darst. |
| publishDate | 2009 |
| publishDateSearch | 2009 |
| publishDateSort | 2009 |
| publisher | Oxford Univ. Press |
| record_format | marc |
| spelling | Hawkins, Dawn Verfasser (DE-588)1077774036 aut Biomeasurement a student's guide to biological statistics Dawn Hawkins 2. ed. Oxford [u.a.] Oxford Univ. Press 2009 XXVIII, 337 S. Ill., zahlr. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Biowissenschaften Life sciences Research Methodology Life sciences Statistical methods Biomathematik (DE-588)4139408-2 gnd rswk-swf Biostatistik (DE-588)4729990-3 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Biostatistik (DE-588)4729990-3 s DE-604 Biomathematik (DE-588)4139408-2 s HEBIS Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017342527&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 | Hawkins, Dawn Biomeasurement a student's guide to biological statistics Biowissenschaften Life sciences Research Methodology Life sciences Statistical methods Biomathematik (DE-588)4139408-2 gnd Biostatistik (DE-588)4729990-3 gnd |
| subject_GND | (DE-588)4139408-2 (DE-588)4729990-3 (DE-588)4123623-3 |
| title | Biomeasurement a student's guide to biological statistics |
| title_auth | Biomeasurement a student's guide to biological statistics |
| title_exact_search | Biomeasurement a student's guide to biological statistics |
| title_full | Biomeasurement a student's guide to biological statistics Dawn Hawkins |
| title_fullStr | Biomeasurement a student's guide to biological statistics Dawn Hawkins |
| title_full_unstemmed | Biomeasurement a student's guide to biological statistics Dawn Hawkins |
| title_short | Biomeasurement |
| title_sort | biomeasurement a student s guide to biological statistics |
| title_sub | a student's guide to biological statistics |
| topic | Biowissenschaften Life sciences Research Methodology Life sciences Statistical methods Biomathematik (DE-588)4139408-2 gnd Biostatistik (DE-588)4729990-3 gnd |
| topic_facet | Biowissenschaften Life sciences Research Methodology Life sciences Statistical methods Biomathematik Biostatistik Lehrbuch |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017342527&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT hawkinsdawn biomeasurementastudentsguidetobiologicalstatistics |