Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences
portes grátis
Fundamental Statistical Concepts and Techniques in the Biological and Environmental Sciences
With jamovi
Duthie, A. Bradley
Taylor & Francis Ltd
10/2024
348
Dura
9781032692371
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Preface 1. Background mathematics 2. Data organisation 3. Practical. Preparing data 4. Populations and samples 5. Types of variables 6. Accuracy, precision, and units 7. Uncertainty propagation 8. Practical. Introduction to jamovi 9. Decimal places, significant figures, and rounding 10. Graphs 11. Measures of central tendency 12. Measures of spread 13. Skew and Kurtosis 14. Practical. Plotting and statistical summaries in jamovi 15. Introduction to probability models 16. The Central Limit Theorem (CLT) 17. Practical. Probability and simulation 18. Confidence intervals (CIs) 19. The t-interval 20. Practical. z- and t- intervals 21. What is hypothesis testing? 22. The t-test 23. Practical. Hypothesis testing and t-tests 24. Analysis of variance 25. Multiple comparisons 26. Kruskall-Wallis H test 27. Two-way ANOVA 28. Practical. ANOVA and associated tests 29. Frequency and count data 30. Correlation 31. Practical. Analysis of counts and correlations 32. Simple linear regression 33. Multiple regression 34. Practical. Using regression 35. Randomisation Appendix A. Answers to chapter exercises B. Uncertainty derivation Bibliography Index
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Introductory Statistics;Data Analysis;Statistical Hypothesis Testing;Probability;Descriptive Statistics;Biostatistics
Preface 1. Background mathematics 2. Data organisation 3. Practical. Preparing data 4. Populations and samples 5. Types of variables 6. Accuracy, precision, and units 7. Uncertainty propagation 8. Practical. Introduction to jamovi 9. Decimal places, significant figures, and rounding 10. Graphs 11. Measures of central tendency 12. Measures of spread 13. Skew and Kurtosis 14. Practical. Plotting and statistical summaries in jamovi 15. Introduction to probability models 16. The Central Limit Theorem (CLT) 17. Practical. Probability and simulation 18. Confidence intervals (CIs) 19. The t-interval 20. Practical. z- and t- intervals 21. What is hypothesis testing? 22. The t-test 23. Practical. Hypothesis testing and t-tests 24. Analysis of variance 25. Multiple comparisons 26. Kruskall-Wallis H test 27. Two-way ANOVA 28. Practical. ANOVA and associated tests 29. Frequency and count data 30. Correlation 31. Practical. Analysis of counts and correlations 32. Simple linear regression 33. Multiple regression 34. Practical. Using regression 35. Randomisation Appendix A. Answers to chapter exercises B. Uncertainty derivation Bibliography Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
