Data analysis

"Understanding Distribution: Analysing Data Distribution

Before you commit to full data collection, your pilot data has a lot to tell you—and distribution analysis is how you listen. This free ebook walks you through what to check in a pilot sample and why it matters for the analysis you're planning downstream. You'll learn how to examine the shape of your data: central tendency and spread, skewness and kurtosis, and how to read histograms, boxplots, and Q-Q plots. It covers testing for normality (Shapiro-Wilk, Kolmogorov-Smirnov), spotting outliers and their causes, and using what you find to decide between parametric and non-parametric methods before you're locked in. Worked examples use survey and questionnaire data typical of social-science, business, and education research. Written for postgraduate students, dissertation candidates, and early-career researchers who need their methodology chapter to hold up under supervisor and examiner scrutiny—no heavy statistics background assumed

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