5 min read
This study guide covers geometric distributions in AP Statistics. It defines geometric random variables, emphasizing their key characteristics such as being discrete, involving independent trials with two outcomes, and focusing on the first success. It differentiates geometric distributions from binomial distributions, provides formulas for calculating probabilities (PMF and CDF), explains how to use technology for calculations, discusses the shape, center (mean), and variability (standard deviation) of the distribution, and concludes with a practice problem and solution.
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Question 1 of 11
🎉 What does a geometric random variable measure?
The number of successes in a fixed number of trials
The number of trials needed to get the first success
The total number of trials in an experiment
The probability of success on each trial