1. Venn Diagrams and Probability: Solving problems involving Venn diagrams, conditional probability, and independence of events. 2. Regression and Correlation: Using regression lines to predict values, calculating correlation coefficients, and interpreting the regression slope. 3. Probability Distribution: Calculating expected values, variances, and probabilities for discrete random variables, including finding probability distributions and product moment correlation. 4. Normal Distribution: Solving problems related to normally distributed data, including finding probabilities and using z-scores. 5. Statistical Analysis: Using measures like interquartile range (IQR), skewness, and median to analyze data, as well as making conclusions based on these measures. 6. Combinatorics and Random Sampling: Using probability theory to model and calculate outcomes from random experiments, such as drawing balls or selecting random samples.