The tao of statistics
Subtitle: a path to understanding (with no math)
By: Dana K. Keller, Halcyon Research, Inc. ; illustrated by Helen Cardiff
Edition: Second edition.
Publisher: SAGE
Published: 2016
Language: eng
Number of pages: 171
ISBN-13: 9781483377926
Subjects: Statistics; Study and teaching
Table of contents: title: The beginning: the question; title: Ambiguity: statistics; title: Fodder: data; title: Data: measurement; title: Data structure: levels of measurement; title: Simplifying: groups and clusters; title: Counts: frequencies; title: Pictures: graphs; title: Scatterings: distributions; title: Bell-shaped: the normal curve; title: Lopsidedness: skewness; title: Averages: central tendencies; title: Two types: descriptive and inferential; title: Foundations: assumptions; title: Murkiness: missing data; title: Leeway: robustness; title: Consistency: reliability; title: Truth: validity; title: Unpredictability: randomness; title: Representatives: samples; title: Mistakes: error; title: Real or not: outliers; title: Impediments: confounds; title: Nuisances: covariates; title: Background: independent variables; title: Targets: dependent variables; title: Inequality: standard deviations and variance; title: Prove: no, falsify; title: No difference: the null hypothesis; title: Reductionism: models; title: Risk: probability; title: Uncertainty: p values; title: Expectations: chi-square; title: Importance vs. difference: substantive vs. statistical significance; title: Strength: power; title: Impact: effect sizes; title: Likely range: confidence intervals; title: Association: correlation; title: Predictions: multiple regression; title: Abundance: multivariate analysis; title: Differences: t tests and analysis of variance; title: Differences that matter: discriminant analysis; title: Both sides loaded: canonical covariance analysis; title: Nesting: hierarchical models; title: Cohesion: factor analysis; title: Ordered events: path analysis; title: Digging deeper: structural equation models; title: Abundance: big data; title: Scarcity: small data; title: Fiddling: modifications and new techniques; title: Epilogue.