O tliOutlineContinuous DistributionsUniform DistributionTriangle DistributionNormal DistributionStudent tDistributionF Distribution →study from textbook.
Nl Dit ib ti0 10.2Normal Distribution00.1Why is it important?It has convenient features for theoretical analysis.It i kth t dit bbilitdi t ib tiIt is known that some discrete probability distributions can be approximated by Normal distribution.It i kth t f di blill tll It is known that sum of random variables will eventually follow Normal distribution as the number of random variables increases (Central Limit Theorem)variables increases. (Central Limit Theorem)It is also calledBell shape curveGaussian Distribution
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Nl Dit ibtiFl Dfi itiNormal Distribution- Formal DefinitionProbability Density Function for Normal Random Variable X with mean μ and variance 2is2211)(xf2ex.,xX ~N(μ, 2) implies random variable X is distributed to normal distribution of mean μ and variance 2What are the parameter of this distribution?