Pirates, peaches and p-values

Samenvatting

The statistics revolution continues - in English! With ninjas to train, umbrellas to test and dominoes to topple, this latest edition of Pirates, Peaches and P-values covers lots of new topics not yet featured in the first Dutch print. Backed by countless students already for its clarity, precision and light-heartedness, this book transcends the final frontier - language - to assist anyone in understanding statistics. Also in this edition, its holy trinity of building bridges prevails:*Accomplished yet accessible: we explain everything.*Mathematical yet material: we translate hyper-tangible examples to statistics and back.*Entertaining but educational: laughter makes you learn and remember better.So try it, and be conVinced. Still think you\'re a peach in statistics? You\'re ... about to become a pirate! Crystal-clear setupThanks to an intuitive structure, you can hop aboard wherever you want. Pirates, Peaches and P-values will always tell you exactly what previous knowledge you require and will direct you to the relevant pages. Each chapter starts with an overview of the important concepts, test assumptions and action plans for an analysis (when applicable). It proceeds with an extensive theoretical elaboration, including footnotes and bonus paragraphs for whoever wishes to dig deeper. The exercises at the end test your new knowledge and expand it further. Not only does the whole allow for thorough learning, it also makes it easy to refresh your brain fast if you return later. Hilarious examplesX and Y are not welcome here! With lively topics that range from agriculture to zombies, you will discover that statistics is everywhere - and that you can understand it through the eyes of the world. As hundreds of readers have remarked, it really helps! Life-saving extras*A flowchart telling you which test to use in each situation*A step-by-step action plan for conducting statistical analyses*Chapters that build bridges between different statistical techniques, showing you that they\'re often the same Overview of chapters and topicsDESCRIBING DATA1.Mapping Data (one variable: tables, graphs, measures of central tendency and dispersion, transformations)2.Categorical Relationships (contingency tables / \'cross tabulations\')3.Quantitative Relationships (correlation, regression) GENERALISING4.Probability Theory (basic concepts, calculation rules)5.Probability Distributions (discrete and continuous distributions, sampling distributions)6.Hypothesis Testing (significance tests, Type I & II error, power, confidence intervals)T-TESTS7.One Sample T-test8.Paired Samples T-test9.Independent Samples T-test ANALYSIS OF VARIANCE10.One-way ANOVA11.Bonferroni and Contrast Analyses12.Two-way ANOVA (orthogonal and non-orthogonal designs)13.ANCOVA (experiments and quasi-experiments)14.Within-subjects ANOVA (\'repeated measures ANOVA\')15.Two-way Within-subjects ANOVA16.Split-plot ANOVA (\'mixed ANOVA\')17.ANCOVA for Repeated Measures18.MANOVA CATEGORIES AND CROSS TABULATIONS19.Z-test for 1 Proportion20.Z-test for 2 Proportions21.2 Goodness of Fit Test22.2-test for Contingency Tables23.Contingency Table Analysis (\'stratified contingency tables\') REGRESSION24.Simple Regression (\'ordinary least squares\')25.Dichotomous and Dummy Variables26.Multiple Regression (\'multivariate regression analysis\')26-AMain Effects26-BInteraction and Simple Slopes27.Logistic Regression28.Multi-level Regression (\'mixed regression\')28-A Marginal Models28-B Random Intercept28-C Random Slope and Remainders (more covariates, cluster-randomised trials) PSYCHOMETRICS29.Reliability (\'classical psychometrics\')30.Agreement (kappa / \'inter-rater agreement\')31.Modern Psychometrics32.Factor Analysis METHODOLOGY33.Power Analysis BUILDING BRIDGES (sometimes things are the same!)34.T-test and ANOVA35.Z-test and 2-test36.Contrasts and ANOVA37.ANOVA and Regression38.Contingency Table Analysis and Logistic Regression