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| Preface | |
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| The Society Preface | |
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| Acknowledgments | |
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| Introduction | |
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| Background | |
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| History and definition of statistics | |
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| Scope and application | |
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| In general | |
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| In aquaculture | |
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| Questions | |
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| Practical exercise | |
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| Experimental units in aquaculture | |
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| Background | |
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| Earth ponds | |
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| Hapas and cages in ponds | |
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| Cages in lakes or reservoirs | |
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| Tanks | |
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| Aquaria | |
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| Farmer's field: participatory research | |
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| Conclusion | |
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| Questions | |
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| Practical exercises | |
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| Sampling and data collection | |
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| Sampling principles and methods | |
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| Parameters or variables | |
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| Variable types | |
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| Variables of aquaculture | |
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| Fish Sampling | |
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| Sampling of feed and feed ingredients | |
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| Water sampling and monitoring | |
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| Sampling of eggs, muscles, blood, and others | |
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| Sample size (volume/number) | |
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| Simple method for sample size estimation | |
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| Comprehensive method for sample size estimation | |
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| Sample size estimation for survey research | |
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| Questions | |
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| Practical exercises | |
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| Data accuracy and exploratory analysis | |
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| Importance | |
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| Data accuracy and precision | |
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| Significant numbers | |
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| Errors and their sources | |
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| Gross errors | |
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| Systematic errors | |
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| Random or residual errors (unsystematic) | |
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| Error minimization and separation | |
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| Experimental conditions and procedures | |
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| Materials, methods, and equipment | |
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| Randomization | |
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| Pairing | |
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| Blocking | |
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| Measurement of additional variables/factors | |
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| Increasing number of treatments and replication | |
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| Exploratory data analysis | |
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| Checking for any errors | |
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| Comparison with others | |
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| Useful tools | |
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| Basic assumptions | |
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| Normal distribution | |
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| Concept of probability | |
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| Frequency distribution and probability | |
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| Grouping classes | |
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| Histogram and frequency curves | |
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| Variance heterogeneity | |
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| Data transformation | |
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| Questions | |
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| Practical exercises | |
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| Central locations and variability | |
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| Concept and importance | |
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| Measure of central tendency | |
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| Mean | |
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| Median | |
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| Mode | |
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| Midrange and Midhinge | |
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| Quartiles, percentiles, and others | |
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| Measure of variability | |
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| Range | |
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| Interquartile range or quartile deviation | |
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| Mean deviation | |
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| Variance and standard deviation | |
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| Population and sample variance/SD | |
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| Standard error | |
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| Coefficient of variation | |
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| Implications of variability | |
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| Questions | |
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| Practical exercises | |
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| Basics of hypothesis formulation and testing | |
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| Concept | |
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| Significance level | |
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| Confidence level, limits, and interval | |
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| Statistical and biological significance | |
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| Errors in hypothesis testing | |
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| Selection of statistical tools | |
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| Test of goodness-of-fit | |
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| x<sup>2</sup>-test | |
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| One-sample K-S test | |
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| One-and two-sample tests | |
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| Parametric tests: t- and Z-tests | |
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| Nonparametric tests: Mann-Whitney and Wilcoxon's tests | |
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| Questions | |
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| Practical exercises | |
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| Experimental designs and analysis of variance | |
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| Background | |
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| Completely randomized design | |
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| Parametric test | |
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| Nonparametric test: Kruskal-Wallis test (H-test) | |
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| Randomized complete block design | |
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| Parametric test using ANOVA | |
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| Nonparametric test: Friedman test for RCBD | |
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| Latin square design | |
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| Factorial experiments | |
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| Questions | |
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| Practical exercises | |
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| Testing and exploring relationships | |
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| Background | |
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| Single-factor regression | |
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| Simple linear regression | |
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| Hypothesis testing | |
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| Nonlinear regression | |
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| Model formulation and selection | |
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| Multiple regression | |
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| Methods | |
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| Example | |
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| Interpretation of results | |
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| Prediction | |
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| Selection of method | |
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| Correlation and parametric test | |
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| Nonparametric tests for regression and correlation | |
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| Spearman's rank correlation | |
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| Kendall's rank correlation or Kendall's coefficient of concordance | |
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| Multiple correlations | |
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| Questions | |
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| Practical exercises | |
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| Advanced topics | |
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| Cluster analysis | |
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| Univariate cluster analysis | |
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| Multivariate cluster analysis | |
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| Analysis of Covariance | |
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| Multivariate ANOVA | |
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| Interpretation of results | |
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| Questions | |
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| Practical exercises | |
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| Bibliography | |
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| Webliography | |
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| Index | |