A geometric random variable represents the number of trials needed to achieve the first success in a sequence of independent Bernoulli trials, where each trial has a constant probability of success.
Imagine you are flipping a fair coin repeatedly until you get heads for the first time. The number of flips it takes to get that first heads is like a geometric random variable.
Discrete Random Variable: A discrete random variable can only take on specific values and has gaps between them, such as counting the number of red cars passing by in an hour.
Probability p: Probability p refers to the likelihood or chance of an event occurring. In the context of a geometric random variable, it represents the probability of success on each individual trial.
Bernoulli Trials: Bernoulli trials are independent experiments with two possible outcomes - success or failure. Each trial has a fixed probability of success, denoted by p.
What is a geometric random variable used to model?
Which situation best represents a geometric random variable?
What is the equation of the probability function of a geometric random variable?
How can probabilities of a geometric random variable be calculated?
What is the mean (expected value) of a geometric random variable?
What is the standard deviation of a geometric random variable?
What is the shape of the probability distribution of a geometric random variable?
Which function is used to calculate the probability of a geometric random variable Y being equal to a specific value k?
What is the possible range of values for a geometric random variable?
If a geometric random variable has a probability of success of 0.3 on each trial, what is the probability of needing exactly 5 trials to achieve the first success?
If a geometric random variable has a probability of success p = 0.2 on each trial, what is the probability of needing more than 3 trials to achieve the first success?
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