Characteristics of a well-designed and well-conducted experiment 2. Sampling methods, including simple random sampling, stratified random sampling, and cluster sampling C. Sources of bias in sampling and surveys 4. Populations, samples, and random selection 3. Characteristics of a well-designed and well-conducted survey 2. Overview of methods of data collection 1. Sampling and experimentation: planning and conducting a study (10%–15%) A. Conditional relative frequencies and association 4. Marginal and joint frequencies for two-way tables 3. Transformations to achieve linearity: logarithmic and power transformations E. Residual plots, outliers, and influential points 5. Comparing outliers and unusual features 4. |omparing distributions of univariate data (dotplots, back-to-back stemplots, parallel boxplots) 1.
The effect of changing units on summary measures C. Measuring position: quartiles, percentiles, standardized scores (z-scores) 4. Measuring spread: range, interquartile range, standard deviation 3. Summarizing distributions of univariate data 1. |onstructing and interpreting graphical displays of distributions of univariate data (dotplot, stemplot, histogram, cumulative frequency plot) 1. Exploring data: describing patterns and departures from patterns (20%–30%) A. Topic Outline for AP® Statistics from the College Board’s AP ® Statistics Course Description Using The Practice of Statistics, Fifth Edition, for Advanced Placement (AP®) Statistics (The percents in parentheses reflect coverage on the AP® exam.)