Description
Book SynopsisProviding practical training supported by a sound theoretical basis, this textbook introduces students to the principles of investigation by experiment and the role of statistics in analysis. It draws on the author’s extensive teaching experience and is illustrated with fully worked contextualized examples throughout, helping the reader to correctly design their own experiments and identify the most appropriate technique for analysis. Subjects covered include sampling and determining sample reliability, hypothesis testing, relationships between variables, the role and use of computer packages such as Genstat, and more complex experimental designs such as randomized blocks and split plots.
Table of Contents1: Introduction to Experimental Design and Data Analysis 2: Descriptive Statistics 3: Data Distributions 4: Populations, Samples and Sample Reliability 5: Inferential Statistics and Hypothesis Testing 6: Design and Analysis of Two Sample Experiments 7: Non-parametric Analysis of the Difference Between Two Samples 8: Design and Analysis of Multi-sample Experiments 9: Analysis of Multi-factorial Experiments 10: Design and Analysis of More Complex Factorial Experiments 11: Correlation Analysis 12: Fitting Trend Lines 13: Analysis of Frequency Data 14: Performing Statistical Analyses Using Computer Packages
