Adding Random Variables

Description:
Explains how to find the Probability Density Function of the sum of two random variables. Gives two examples of how to find the PDF intuitively.

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Related videos (see http://www.iaincollings.com ) :
• What is a Probability Density Function (pdf)? https://youtu.be/jUFbY5u-DMs
• What is a Multivariate Probability Density Function (PDF)? https://youtu.be/fKTBKmx0NS8
• Convolution with Delta Impulse Functions: A Very Useful Property https://youtu.be/5io9jJJ57mw
• What is a Random Variable? https://youtu.be/MM6QM3y8pvI
• What is a Cumulative Distribution Function (CDF) of a Random Variable? https://youtu.be/WZffV55o9T8
• How to Estimate the Mean Value of a PDF? https://youtu.be/51ft6L0iLUs
• How to Estimate the Variance of a PDF? https://youtu.be/_PVOvKCE_0A
• What is a Moment Generating Function (MGF)? https://youtu.be/wjwLTNYOuI4
• What is a Random Process? https://youtu.be/W28-96AhF2s
• Expectation of a Random Variable Equation Explained https://youtu.be/334ZWt28b_0
• What is a Gaussian Distribution? https://youtu.be/RNmDyzYw7aQ
• What is a Poisson Process? https://youtu.be/5uLxFmhYnl0
• What is a Chi Square Distribution? with examples https://youtu.be/B8QRtmT4I4g
• Testing Random Data Models: Pearson Chi Square Test https://youtu.be/lEh5AlDA-Do
• What is Rayleigh Fading? https://youtu.be/-FOnYBZ7ZfQ
• What is Gaussian Noise? https://youtu.be/VIvYxnhkvvc
• What is White Gaussian Noise (WGN)? https://youtu.be/QfUQMzHfbxs
• What is Conditional Probability? https://youtu.be/NSf8hmfXjYo
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