Doing statistics for the first time? ('Don't panic'), says Fred Coolidge. He shows how statistics needn't be difficult or dull. He likens the role of the statistician to a detective, searching for clues to causation at the scene of a crime. He minimizes the use of formulas, but provides a step-by-step approach to their solution, and includes practical assignments. The book contains a wealth of real-world examples that give students a sense of how the science of statistics works, solves problems and helps us make informed choices about the world we live in.
|Edition description:||First Edition|
|Product dimensions:||6.69(w) x 9.53(h) x (d)|
About the Author
Frederick L. Coolidge (Ph.D.) received his B.A., M.A., and Ph.D. in Psychology at the University of Florida. He completed a two-year postdoctoral fellowship in clinical neuropsychology at Shands Teaching Hospital in Gainesville, Florida. He has been awarded three Fulbright Fellowships to India (1987, 1992, and 2005). He has also won three teaching awards at the University of Colorado (1984, 1987, and 1992), including the lifetime title of University of Colorado Presidential Teaching Scholar. In 2005, he received the University of Colorado at Colorado Springs College of Letters, Arts, and Sciences’ Outstanding Research and Creative Works award. Dr. Coolidge conducts research in behavioral genetics and has established the strong heritability of gender identity and gender identity disorder. He also conducts research in lifespan personality assessment and has established the reliability of posthumous personality evaluations, and also applies cognitive models of thinking and language to explain evolutionary changes in the archaeological record.
Table of Contents
A Gentle IntroductionDescriptive Statistics Distributions of NumbersStatistical ParametersStandard Scores, the Z Distribution and Hypothesis TestingInferential Statistics The Archetypal Experiment, Hypothesis Testing, and the Z DistributionAn Introduction to CorrelationThe Statistical Analysis of the Archetypal Experiment The t-Test for Independent GroupsVariations on the Archetypal Experiment The t-Test for Dependent GroupsAnalysis of Variance One Factor Completely Randomized DesignAfter a Significant Analysis of Variance Multiple Comparison TestsAnalysis of Variance One Factor Repeated Measures DesignAnalysis of Variance Two Factor Completely Randomized DesignFactorial Analysis of Variance Additional DesignsNonparametric Statistics Chi SquareOther Statistical Parameters and Tests