7 min read
This study guide covers random variables and probability distributions. It explains discrete and continuous random variables, how to interpret probability distributions, and calculate probabilities. It also discusses describing distribution shapes (symmetry, peaks, skewness) and provides example questions involving calculating probabilities with phrases like "at least" and "no more than". Finally, it offers practice questions on these concepts.
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Question 1 of 10
Which of the following best describes a random variable? 🤔
A variable with a predetermined value
A variable that is always constant
A variable whose value is a numerical outcome of a random phenomenon
A variable that can only be an integer