1. Data Collection and Representation – Analyzing data types, class boundaries, and calculating percentages for customer surveys and product weights. 2. Probability and Events – Solving probability problems involving independent and mutually exclusive events, and calculating expected values for games. 3. Statistics and Graphing – Calculating measures like mean, median, range, and standard deviation, as well as interpreting data from frequency distributions and histograms. 4. Sampling and Survey Techniques – Analyzing the advantages and disadvantages of using samples versus full surveys, and applying stratified and systematic sampling. 5. Trend Analysis and Estimation – Using moving averages, seasonal components, and linear interpolation to estimate future trends. 6. Graphical Analysis and Regression – Plotting data on graphs, fitting trend lines, and using the line of best fit to predict future values.