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This volume focuses on the abuse of statistical inference in scientific and statistical literature, as well as in a variety of other sources, presenting examples of misused statistics to show that many scientists and statisticians are unaware of, or unwilling to challenge the chaotic state of statistical practices.;The book: provides examples of ubiquitous statistical tests taken from the biomedical and behavioural sciences, economics and the statistical literature; discusses conflicting views of randomization, emphasizing certain aspects of induction and epistemology; reveals fallacious practices in statistical causal inference, stressing the misuse of regression models and time-series analysis as instant formulas to draw causal relationships; treats constructive uses of statistics, such as a modern version of Fisher's puzzle, Bayesian analysis, Shewhart control chart, descriptive statistics, chi-square test, nonlinear modeling, spectral estimation and Markov processes in quality control.

Tabla de contenidos provista por Syndetics

• Part 1 Fads and fallacies in hypothesis testing: examples - the t-test
• A two-stage test-of-significance
• More examples - a Kolmogorov-Smirnov test
• Mechanical application of statistical tests
• Data snooping
• An appreciation of non-significant results
• Type I and type II errors - for decision making
• Type I and type II errors - for general scientists
• Part 2 Quasi-inferential statistics: randomness or chaos? Hume's problem
• Unobservables, semi-unobservables and grab sets
• is science?

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