1. Probability diagrams–Venn diagram with unknown value, mutually exclusive events identification 2. Data analysis–histogram completion, linear interpolation for median, outlier test using Q1, Q3, IQR 3. Sampling methods–systematic sampling, qualitative variable identification, sample inference reliability 4. Binomial distribution–model setup, exact and cumulative probability calculation, model suitability, hypothesis testing with p-value 5. Multi-stage probability–ball transfer between two bags, equation setup, solving for unknown variable and probability 6. Applied statistics–real-world contexts involving airline age groups, weather data outcomes, colored bead proportions, random sampling scenarios