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Lecture 3 Gaussian Probability Distribution Introduction
K.K. Gan L3: Gaussian Probability Distribution 3 n For a binomial distribution: mean number of heads = m = Np = 5000 standard deviation s = [Np(1 - p)]1/2 = 50+ The probability to be within ±1s for this binomial distribution is: n For a Gaussian distribution: + Both distributions give about the same probability! Central Limit Theorem l Gaussian distribution is important because of …
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Lecture 6 Chi Square Distribution (c) and Least Squares ...
www.asc.ohio-state.eduK.K. Gan L6: Chi Square Distribution 2 u One can show that the probability distribution for c2 is exactly: n This is called the "Chi Square" (c2) distribution. H G is the Gamma Function: n This is a continuous probability distribution that is a function of two variables: H c2 H Number of degrees of freedom (dof): n = # of data points - # of parameters calculated from the data points
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www.asc.ohio-state.eduIt is clear that a white noise process is stationary. Note that white noise assumption is weaker than identically independent distributed assumption. To tell if a process is covariance stationary, we compute the unconditional first two moments, therefore, processes with conditional heteroskedasticity may still be stationary.
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www.asc.ohio-state.edu• energy transferred from an object is negative work, e.g. gravity performs negative work on a ball tossed up by transferring energy from the ball, causing the ball to slow down. • both kinetic energy and work are scalars. • unit: J Work Energy Theorem: The work done is equal to the change in the kinetic energy: ∆K = K f − K i = W
Monopoly A monopoly is a firm who is the sole seller of ...
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GRE Physics Test Practice Book
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