Distinction DATA1001/1091 notes

Description

These notes are clear, structured, and exam-focused, covering the entire DATA1091 syllabus from experimental design and data visualisation to probability, regression, hypothesis testing, and confidence intervals. Content is broken down into simple explanations, step-by-step frameworks, key definitions, and worked examples, making complex statistical concepts easy to understand. Ideal for revision, exam prep, or catching up, especially if you want concepts explained in plain language rather than dense lecture slides. Topics are: Topic 1: Design of Experiments Topic 2: Data Graphical Summaries Topic 3: Numerical Summaries Topic 4: Normal Model Topic 5: Linear model Topic 6: Understanding Chance Topic 7: Chance Variability and the box model Topic 8: Sample Surveys, bias, bootstrapping & CIs Topic 9: Hypothesis Testing Topic 10: Z-test and T-tests Topic 11: Tests for relationships