The study of uncertainty through assigning probabilities to events. Random variables represent outcomes in probability experiments, while probability distributions describe their possible values and associated probabilities.
Discrete Random Variable: A random variable that can only take on a countable number of values, such as the number of heads in multiple coin flips.
Continuous Random Variable: A random variable that can take on any value within a certain range, such as the height of students in a class.
Normal Distribution: A symmetric probability distribution that follows a bell-shaped curve, commonly used to model many natural phenomena.
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