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infoWhy this? Hypothesis testing provides a structured way to judge whether data are compatible with a claim, while making the risk of false rejection explicit. Chi-squared tests extend this reasoning to goodness of fit and association between categorical variables, helping us distinguish statistical evidence from unsupported conclusions.

scheduleWhy now? The preceding work on probability distributions supplies models and expected frequencies against which observed data can be compared. This moves the statistics strand from describing chance to evaluating claims and establishes foundations for Year 13 work on the quality of tests.