allorcing observations are for a gion proces 1 of 4 sample set consists of n=6 obonitatay and euch observation consists of 3-features called e feature vector x = { *), DJ 03 Let X[x] be sample vector from t XEN *ERE Lokich mea [x] XER where d=3 5 4 4 5 3 2 3 3 5 3 7 since the joint probabilities are not given, we can use arithmetic incan where Mix[ u 6 uy S Where The Los T22 23 {(KIJ) - A LI) (KEEJE4] - [47) where n-6 K covariante, alss.com be Cockenbatte lasing matrix multiplication. The data can be reproduk as a matrix [1200 XDJE XD YXJJX56 XJS XL) E = to (y++) (y=post whese Uy-Nutrampos.cy YM using hand (calculator calculations, find mean vector for the given data (Page 1) (ii) Covariance matrix (in) inverse of Covariance matrix (Please read how to find inverse of a matrix)