A random number generator is a tool or algorithm that produces a sequence of numbers that have no pattern or predictability. It is commonly used in statistics to simulate random events or select random samples.
Think of a random number generator as a lottery machine. Just like how the lottery machine randomly selects numbers, a random number generator generates numbers without any specific order or pattern.
Probability: The likelihood of an event occurring. For example, the probability of rolling a six on a fair die is 1/6.
Sampling: The process of selecting individuals from a population to gather data and make inferences about the entire population.
Simulation: The imitation or replication of real-world processes using mathematical models or computer algorithms to study their behavior and outcomes.
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