Advanced Placement Statistics covering data analysis, probability, and statistical inference.
A probability distribution shows all possible outcomes of a random variable and how likely they are. Two important types are discrete (countable outcomes) and continuous (any value in a range).
The normal distribution is described by its mean (\( \mu \)) and standard deviation (\( \sigma \)). Many real-world variables roughly follow this pattern!
Understanding distributions helps us predict outcomes, spot outliers, and make better decisions.
A casino uses the binomial distribution to calculate the odds of winning a game.
SAT scores are often modeled using a normal distribution.
Probability distributions describe the expected outcomes and their likelihood.