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Hypothesis testing and Chi-Squared tests

infoWhy this? Hypothesis testing gives a structured way to use data to make decisions, helping to understand how evidence can support or challenge a claim while controlling the risk of being wrong. The chi‑squared test is a key example, where you can check whether observed frequencies fit an expected model or whether two categorical variables are associated. Together they build critical statistical thinking and open the doors for data‑driven areas in the workplace.

scheduleWhy now? This will build on previous statistics topics and finalise the AS statistics content.


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