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facte you learned in phra class. Standardized Exp(1) N(0, 1) Standardized Exp(1) N(0, 1) 35 40 45 50 In this quuton , mill show| you mrumal randon the Kurtoris of vauahles is 3, nang seme What i ihe denuty q uthat u the nayne of this p rooz Mhat in the denuty of S=R?? dutribution ? ret reg provede the ramé ard the paremeter 7 thii dutribition nat required. • thow that Ese-8 thow that E (I-")"= 3 (Hiant tapund s q me the undepent P roog is

facte you learned in phra class. Standardized Exp(1) N(0, 1) Standardized Exp(1) N(0, 1) 35 40 45 50 In this quuton , mill show| you mrumal randon the Kurtoris of vauahles is 3, nang seme What i ihe denuty q uthat u the nayne of this p rooz Mhat in the denuty of S=R?? dutribution ? ret reg provede the ramé ard the paremeter 7 thii dutribition nat required. • thow that Ese-8 thow that E (I-")"= 3 (Hiant tapund s q me the undepent P roog is

Linear Algebra: A Modern Introduction
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
Problem 9BEXP
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Standardized Exp(1) N(0, 1) Standardized Exp(1) N(0, 1) 30 35 40 50 In this queiton , mill phon you armal pandon the Kurtoris of vauahles i 3. naing Atne thra lass facte you learned in What i the demety q. and of uthat u the name o this dutribution ? P roor u , Mhat n the denuty of s :R²? provide the rame ard the rot reg . parameter 7 thii dutribition nat regured ' thow that Ese=8 • thow that E (I_")*- 3 (Hunt tapand s G ume the wn depent P rog ui Oc0o szoo ozoO GI00 OL00 00 0
Transcribed Image Text:Standardized Exp(1) N(0, 1) Standardized Exp(1) N(0, 1) 30 35 40 50 In this queiton , mill phon you armal pandon the Kurtoris of vauahles i 3. naing Atne thra lass facte you learned in What i the demety q. and of uthat u the name o this dutribution ? P roor u , Mhat n the denuty of s :R²? provide the rame ard the rot reg . parameter 7 thii dutribition nat regured ' thow that Ese=8 • thow that E (I_")*- 3 (Hunt tapand s G ume the wn depent P rog ui Oc0o szoo ozoO GI00 OL00 00 0
Varian ee %3D M= EX) tille you how far the dutribution is ypre ad cut 4 from ite eumilardy, EL(X -M)%/o4] which i called me an Kurtasis, jalle you the tail oy youn dutribution is: We how hiavry ditrebation distribution lay he aury tail 4 ite denity is selatirely jarge on ihe paints that re far seway a Las a from the me an · For example, Kurt asu vari able and mumai sin jie experential random random V aru akli are 6 and 3 rape clinely' on fact expenentiai dstribution Yuae heaire ar dril than hommal random you Cin see the figune
Transcribed Image Text:Varian ee %3D M= EX) tille you how far the dutribution is ypre ad cut 4 from ite eumilardy, EL(X -M)%/o4] which i called me an Kurtasis, jalle you the tail oy youn dutribution is: We how hiavry ditrebation distribution lay he aury tail 4 ite denity is selatirely jarge on ihe paints that re far seway a Las a from the me an · For example, Kurt asu vari able and mumai sin jie experential random random V aru akli are 6 and 3 rape clinely' on fact expenentiai dstribution Yuae heaire ar dril than hommal random you Cin see the figune
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