In statistics, we always use sample mean and sample variance to estimate the unknown mean and variance. Since the mean is often referred to as the first moment of a distribution and the variance as the second moment, this method is often referred to as the method of moments. Why is it that this method is in general inadequate for estimating the unknown parameters of life distributions when censoring occurs

Solve for x, y, and z. show all steps.

A50% increase followed by 33 1/2% decrease

Drag the tiles to the correct boxes to complete the pairs. match the exponential functions with their horizontal asymptotes and y-intercepts. f(x) = 7x − 4 f(x) = 3x+2 + 4 f(x) = 9x+1 − 4 f(x) = 2x + 4 horizontal asymptote and y-intercept exponential function horizontal asymptote: y = 4 y-intercept: (0, 5) arrowboth horizontal asymptote: y = -4 y-intercept: (0, 5) arrowboth horizontal asymptote: y = -4 y-intercept: (0, -3) arrowboth horizontal asymptote: y = 4 y-intercept: (0, 13) arrowboth