1. Statistical Analysis – Calculating mean, median, range, and percentage of customer satisfaction, along with interpreting pictograms and cumulative frequency data. 2. Probability and Data Interpretation – Finding probabilities related to the selection of teachers and analyzing random sampling methods. 3. Bivariate Data and Correlation – Understanding correlation types, describing scatterplots, and calculating values such as median and percentiles. 4. Sampling Methods – Applying different sampling techniques such as systematic and stratified sampling, analyzing sample representativeness, and interpreting survey results. 5. Estimating Values – Using interpolation to estimate seasonal components, and applying mathematical reasoning for extrapolation. 6. Financial and Business Data – Estimating profits, comparing costs from different suppliers, and analyzing changes in sample sizes for more accurate results.