K-12 Grade Math

K-12 Grade Math


High School Math Statistics & Probability

Common Core curriculum builder and lesson designer for teachers and parents

The high school standards are listed in conceptual categories. Statistics & Probability is one of the 5 conceptual categories. Decisions or predictions are often based on data—numbers in context. These decisions or predictions would be easy if the data always sent a clear message, but the message is often obscured by variability. Statistics provides tools for describing variability in data and for making informed decisions that take it into account. Data are gathered, displayed, summarized, examined, and interpreted to discover patterns and deviations from patterns. Quantitative data can be described in terms of key characteristics: measures of shape, center, and spread. The shape of a data distribution might be described as symmetric, skewed, flat, or bell shaped, and it might be summarized by a statistic measuring center (such as mean or median) and a statistic measuring spread (such as standard deviation or interquartile range). Different distributions can be compared numerically using these statistics or compared visually using plots. Knowledge of center and spread are not enough to describe a distribution. Which statistics to compare, which plots to use, and what the results of a comparison might mean, depend on the question to be investigated and the real-life actions to be taken.

Key Contents: Interpreting Categorical and Quantitative Data (ID) • Summarize, represent, and interpret data on a single count or measurement variable • Summarize, represent, and interpret data on two categorical and quantitative variables • Interpret linear models Making Inferences and Justifying Conclusions (IC) • Understand and evaluate random processes underlying statistical experiments • Make inferences and justify conclusions from sample surveys, experiments and observational studies Conditional Probability and the Rules of Probability (CP) • Understand independence and conditional probability and use them to interpret data • Use the rules of probability to compute probabilities of compound events in a uniform probability model Using Probability to Make Decisions (MD) • Calculate expected values and use them to solve problems • Use probability to evaluate outcomes of decisions