Continuous Random Variables and the Normal Distribution
Students model continuous random variables with probability density functions, with focus on the normal distribution and its applications.
About This Topic
Students model continuous random variables with probability density functions, with focus on the normal distribution and its applications.
Key Questions
- When can a continuous distribution sensibly approximate a discrete one?
- Why does the normal distribution arise so often in measurements of human and natural variation?
- How do we compute and interpret probabilities for non-standard normal distributions?
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