A 2-dimensional multivariate Gaussian probability density function g 13 -5.2 has mean vector m = [2] and covariance matrix C = [_152 The matrix C has eigenvalue decomposition C = UDUT, where: U = COS (7) -sin 0 ‚D = [1/6] · LO sin (7) Carefully sketch a 1-standard-deviation contour for g. COS

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