We’ll explore correlation coefficients and how to interpret regression lines in context. By the end, you’ll be able to spot trends in data and use them to make predictions in exam questions.
This lesson introduces conditional probability using set notation, Venn diagrams, and tree diagrams. You’ll practise applying the rules to structured problems that appear in exams.
We’ll look at the normal distribution curve, standardisation, and using tables to find probabilities. You’ll apply these skills to a range of probability questions.