Statistics

Representing, interpreting & summarizing data using plots & functions; analyzing normal distribution; mean, median, mode, interquartile range & standard deviation; differentiating between correlation & causation; probability concepts to solve real-world problems.

Statistics & Probability Foundation

Data and Variability

Measures of Center

Measures of Variability

Random Sampling

Slope and Intercept

Understanding Data

Categorical Data

Function to Represent Data

Linear Models

Slope of Linear Model

Intercept of Linear Model

Correlation Coefficient

Sample and Surveys

Random Processes

Real-world Application

Understanding Probability

Events and Outcomes

Independent and Dependent Events

Conditional Probability

Multiplication Rule

Permutations and Combinations

Binomial Probability

Probability & Decision Making

Expected Values

Evaluate Outcomes