An Introduction to Continuous Probability Distributions

An introduction to continuous random variables and continuous probability distributions. I briefly discuss the probability density function (pdf), the properties that all pdfs share, and the notion that for continuous random variables probabilities are areas under the curve.

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[jbstatistics]

You are very welcome! I'm glad to hear you got a good mark in your introduction to probability course! I have many videos on various topics in inference (and I'll be adding more) so you may very well find some that help you in your future courses. I'm very happy to do my little bit to help a few people around the world. Best wishes from Canada!

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[rifatmasud]

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[juanhernandez]

By far the the most understandable instructional videos on probabilities & statistics. Thank you!

[magiclikemike]

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[stephanieglennmusic]

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[exxodas]

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[ixi]

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[jbstatistics]

You're welcome! I'm glad you find them useful.

[ama]

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[johnc.]

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[popopboom]

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[gardenmenuuu]

Sir your videos are great...
If you are reading this please reply ok??
Let's say X is a continious random variable that takes the masses if animals in zoo.And those masses will be from 100 kg to 10000kg lets say.And when we model that how can we get the area under the curve to be 1????I have been confused on that since long.Please help