1. Regression and Modelling | Linear regression interpretation, gradient meaning, model applicability limits in job evaluation context.

2. Conditional Probability and Independence | Faulty component analysis across suppliers, conditional percentage calculations, explanation of dependent events.

3. Binomial Distribution and Hypothesis Testing | Probability of exact and greater outcomes using binomial model, one-tailed hypothesis test with 5% significance.

4. Data Handling and Interpretation | Mean and standard deviation of grouped windspeed data, dataset comparison using box plots and outlier symbols.

5. Discrete Distributions and Transformation | Biased spinner distribution derivation, binomial application to repeated trials, transformed variable analysis.

6. Kinematics and Projectile Motion | Vertical motion with initial velocity, total time to impact under gravity, solving quadratic motion equations.