: a tutorial for beginners in statistical analysis Navarro, Danielle J. creator author Foxcroft, David R. author text Cambridge, UK Open Book Publishers 2025 monographic eng

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495 pages : illustrations, charts, tables (some color). Based on Danielle Navarro's widely acclaimed and prize-winning book Learning Statistics with R, this elegantly designed textbook offers undergraduate students a thorough and accessible introduction to jamovi, as well as how to get to grips with statistics and data manipulation. Lucid and easy to understand, Learning Statistics with jamovi covers the analysis of contingency tables, t-tests, correlation, regression, ANOVA and factor analysis, while also giving students a firm grounding in descriptive statistics and graphing. It includes learning aids for applying statistical principles using the jamovi interface, as well as embedded data files to accompany the book, and comprehensive chapters on probability theory, sampling and estimation, and null hypothesis testing. Freely available in open access, Learning Statistics with jamovi is an ideal introduction for undergraduate and postgraduate students of psychology, as well as behavioural and health science students and anyone who needs to understand and use statistical analysis in their work. Why do we learn statistics — A brief introduction to research design — Getting started with jamovi — Descriptive statistics — Drawing graphs — Pragmatic matters — Introduction to probability — Estimating unknown quantities from a sample — Hypothesis testing — Categorical data analysis — Comparing two means — Correlation and linear regression — Comparing several means (one-way ANOVA) — Factorial ANOVA — Factor Analysis — Bayesian statistics. / Danielle J. Navarro and David R. Foxcroft. Jamovi (Computer file) Textbooks Statistics Textbooks QA273 9781800649392 https://www.openbookpublishers.com/books/10.11647/obp.0333 https://www.openbookpublishers.com/books/10.11647/obp.0333 260112