Table of Contents
3 sectionsDescriptive statistics explain your sample
Descriptive statistics summarise what your data looks like. Means, standard deviations, frequencies, percentages, and charts all help readers understand the shape of the sample before any hypotheses are tested.
Inferential statistics help you draw conclusions
Inferential statistics go further by testing whether patterns in your sample are strong enough to support a wider conclusion. T-tests, ANOVA, regression, and chi-square tests sit in this part of the workflow.
Why the distinction matters
Many dissertations lose clarity because descriptive and inferential findings are blended together without structure. A stronger results chapter separates these stages clearly and makes it obvious what is simply being described versus what is being statistically tested.
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