Histograms and Distribution Analysis in Jamovi

Understanding how your data is distributed is a vital first step in any statistical analysis. This text-based guide teaches you how to effectively explore variable distributions using histograms in Jamovi, an intuitive open-source statistical platform. You will gain the practical skills needed to set up datasets, generate detailed distribution plots, and draw accurate conclusions about data shape, central tendency, and variability. What you'll learn: - Understand fundamental distribution concepts including central tendency, skewness, and kurtosis - Configure continuous variables and prepare datasets accurately within Jamovi - Generate clean histograms and adjust binning parameters to reveal data structure - Overlay density curves to assess normality and distribution patterns - Identify outliers, gaps, and multimodality across continuous metrics - Compare distributions across subgroups using split-by categorical variables - Apply visual insights to guide subsequent statistical testing and reporting The course begins with foundational statistical terminology and distribution basics before moving into hands-on Jamovi workflows and interpretation exercises. This guide is designed for beginners, students, and research analysts with no prior statistical software experience required. Start reading today to build a strong foundation in exploratory data visualization with Jamovi.