1. Histogram Interpretation and Frequency Estimation | Calculation of student percentages from histogram bars, determination of grouped frequencies from visual data.

2. Outliers and Correlation Analysis | Use of interquartile range to detect outliers, description of correlation between humidity and visibility, identification of variables in scatter plots.

3. Discrete Probability and Algebraic Constraints | Completion of a probability distribution table with algebraic unknowns, application of total probability rule, computation of combined outcomes.

4. Sampling Techniques and Validity | Critique of quota and stratified sampling methods, proportional allocation from population data, representation limitations of sampling strategies.

5. Standard Deviation and Data Adjustments | Estimation of standard deviation from grouped data, effect of correcting data errors on spread and statistical measures.

6. Binomial Probability and Hypothesis Testing | Calculation of binomial probabilities for exact and cumulative outcomes, testing proportion claims using one-tailed hypothesis tests.