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Probability and Random Variable I Gaussian Probability Density Function and Q function
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Gaussian Probability Density Function and Q function are discussed in this lecture video. Area under the curve of pdf can be used to determine the probability of random variable less than or equal to mean value and greater or equal to mean value.
Gaussian pdf with zero mean is also discussed in this lecture.
Cumulative distribution function of Gaussian pdf with zero mean and unit variance is called unit Gaussian distribution function. Complementary unit Gaussian distribution function or Q function and its properties are also explained in this lecture.
How we can use Q function or unit Gaussian function to find the CDF of Gaussian pdf with non-zero mean and variance and different probabilities are discussed with examples in this lecture.
Gaussian pdf with zero mean is also discussed in this lecture.
Cumulative distribution function of Gaussian pdf with zero mean and unit variance is called unit Gaussian distribution function. Complementary unit Gaussian distribution function or Q function and its properties are also explained in this lecture.
How we can use Q function or unit Gaussian function to find the CDF of Gaussian pdf with non-zero mean and variance and different probabilities are discussed with examples in this lecture.
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