Key skills taught in this book include: how to plan ecological projects how to record and assemble your data how to use R and Excel for data analysis and graphs how to carry out a wide range of statistical analyses including analysis of variance and regression how to create professional looking graphs and how to present your results. Statistical approaches covered include: data exploration tests for difference – t-test and U-test correlation – Spearman’s rank test and Pearson product-moment association including Chi-squared tests and goodness of fit multivariate testing using analysis of variance (ANOVA) and Kruskal–Wallis test and multiple regression. The book uses Microsoft Excel and the powerful Open Source R program to carry out data handling as well as producing graphs. You will learn how to plan for data collection, how to assemble data, how to analyze data and finally how to present the results. This is a book about the scientific process and how you apply it to data in ecology. Algae, Seeweeds & Single Cell Organisms.Marine & Freshwater Measuring Instruments. Air Measuring Instruments & Weather Stations.
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