Data Analysis and Probability for K-8 Teachers

Catalog description

Data collection and organization; measures of central tendency and variance; inferences and convincing arguments; subjective, theoretical, experimental, and conditional probability; simulation; counting principles; mathematical expectation. Techniques, technology, and current trends in the teaching and learning of data analysis and probability.