Vor Ort
Merkzettel Warenkorb
Produktbild: An Introduction to Statistical Analysis in Research

An Introduction to Statistical Analysis in Research With Applications in the Biological and Life Sciences

149,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.09.2017

Verlag

John Wiley & Sons Inc

Seitenzahl

616

Maße (L/B/H)

23,9/16/3,3 cm

Gewicht

1179 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-29968-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

05.09.2017

Verlag

John Wiley & Sons Inc

Seitenzahl

616

Maße (L/B/H)

23,9/16/3,3 cm

Gewicht

1179 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-1-119-29968-4

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
Die Leseprobe wird geladen.
  • Produktbild: An Introduction to Statistical Analysis in Research
  • Contents
     
    Preface ix
     
    Acknowledgments xi
     
    About the Companion Website xiii
     
    1 Experimental Design 1
     
    1.1 Experimental Design Background 1
     
    1.2 Sampling Design 2
     
    1.3 Sample Analysis 7
     
    1.4 Hypotheses 9
     
    1.5 Variables 10
     
    2 Central Tendency and Distribution 13
     
    2.1 Central Tendency and Other Descriptive Statistics 13
     
    2.2 Distribution 18
     
    2.3 Descriptive Statistics in Excel 34
     
    2.4 Descriptive Statistics in SPSS 48
     
    2.5 Descriptive Statistics in Numbers 52
     
    2.6 Descriptive Statistics in R 57
     
    3 Showing Your Data 61
     
    3.1 Background on Tables and Graphs 61
     
    3.2 Tables 62
     
    3.3 Bar Graphs, Histograms, and Box Plots 63
     
    3.4 Line Graphs and Scatter Plots 136
     
    3.5 Pie Charts 165
     
    4 Parametric versus Nonparametric Tests 191
     
    4.1 Overview 192
     
    4.2 Two-Sample and Three-Sample Tests 194
     
    5 t-Test 195
     
    5.1 Student's t-Test Background 195
     
    5.2 Examples t-Tests 196
     
    5.3 Case Study 201
     
    5.4 Excel Tutorial 205
     
    5.5 Paired t-Test SPSS Tutorial 209
     
    5.6 Independent t-Test SPSS Tutorial 213
     
    5.7 Numbers Tutorial 218
     
    5.8 R Independent/Paired-Samples t-Test Tutorial 223
     
    6 ANOVA 227
     
    6.1 ANOVA Background 227
     
    6.2 Case Study 236
     
    6.3 One-Way ANOVA Excel Tutorial 241
     
    6.4 One-Way ANOVA SPSS Tutorial 247
     
    6.5 One-Way RepeatedMeasures ANOVA SPSS Tutorial 252
     
    6.6 Two-Way Repeated Measures ANOVA SPSS Tutorial 261
     
    6.7 One-Way ANOVA Numbers Tutorial 272
     
    6.8 One-Way R Tutorial 288
     
    6.9 Two-Way ANOVA R Tutorial 291
     
    7 Mann-Whitney U andWilcoxon Signed-Rank 297
     
    7.1 Mann-Whitney U andWilcoxon Signed-Rank Background 297
     
    7.2 Assumptions 298
     
    7.3 Case Study - Mann--Whitney U Test 299
     
    7.4 Case Study -Wilcoxon Signed-Rank 302
     
    7.5 Mann-Whitney U Excel Tutorial 305
     
    7.6 Wilcoxon Signed-Rank Excel Tutorial 313
     
    7.7 Mann-Whitney U SPSS Tutorial 319
     
    7.8 Wilcoxon Signed-Rank SPSS Tutorial 324
     
    7.9 Mann-Whitney U Numbers Tutorial 328
     
    7.10 Wilcoxon Signed-Rank Numbers Tutorial 337
     
    7.11 Mann-Whitney U/Wilcoxon Signed-Rank R Tutorial 350
     
    8 Kruskal-Wallis 353
     
    8.1 Kruskal-Wallis Background 353
     
    8.2 Case Study 1 354
     
    8.3 Case Study 2 358
     
    8.4 Kruskal-Wallis Excel Tutorial 362
     
    8.5 Kruskal-Wallis SPSS Tutorial 368
     
    8.6 Kruskal-Wallis Numbers Tutorial 375
     
    8.7 Kruskal-Wallis R Tutorial 386
     
    9 Chi-Square Test 393
     
    9.1 Chi-Square Background 393
     
    9.2 Case Study 1 394
     
    9.3 Case Study 2 401
     
    9.4 Chi-Square Excel Tutorial 405
     
    9.5 Chi-Square SPSS Tutorial 418
     
    9.6 Chi-Square Numbers Tutorial 426
     
    9.7 Chi-Square R Tutorial 429
     
    10 Pearson's and Spearman's Correlation 435
     
    10.1 Correlation Background 435
     
    10.2 Example 435
     
    10.3 Case Study - Pearson's Correlation 442
     
    10.4 Case Study - Spearman's Correlation 445
     
    10.5 Pearson's Correlation Excel and Numbers Tutorial 448
     
    10.6 Spearman's Correlation Excel Tutorial 455
     
    10.7 Pearson/Spearman's Correlation SPSS Tutorial 462
     
    10.8 Pearson/Spearman's Correlation R Tutorial 467
     
    11 Linear Regression 473
     
    11.1 Linear Regression Background 473
     
    11.2 Case Study 480
     
    11.3 Linear Regression Excel Tutorial 484
     
    11.4 Linear Re