1. Data Types and Sampling – Identifying data types (qualitative, quantitative), class boundaries, and categorizing the types of data for different surveys. 2. Probability and Events – Calculating probabilities for mutually exclusive events, determining independent events, and applying probability distributions for games. 3. Statistical Analysis – Using mean, standard deviation, and other statistical methods to evaluate trends and distributions in various samples. 4. Survey Methods and Sampling Techniques – Analyzing the advantages and disadvantages of using samples versus full surveys, including systematic and stratified sampling. 5. Graphical Representation – Plotting and interpreting data using frequency polygons, box plots, and cumulative frequency graphs. 6. Estimation and Interpolation – Using linear interpolation to estimate values such as medians, seasonal components, and other missing data points.