Discuss how you would explain to someone why the skewness of a distribution can be negative, but the variance and kurtosis of the same distribution can only be positive. is the distinction inherent in the concepts themselves, or is it just a by-product of the way they are calculated?

The revenue generated by a bakery over x months, in thousands of dollars, is given by the function f(x) = 2(1.2)* the cost of running the bakery forx months, in thousands of dollars, is given by the function g(x) = 2x + 1.4determine the equation for h if h(x) = f(x) - g(x).oa. m(x) = (1-2)*-x-07b.(x) = 2(1 2 - 2x -0.7)h(x) = -2((1.2) + x + 0.7)d.h(x) = 2((12) - x-0.7)

1mile equals approximately 1.6 kilometers. which best approximates the number of miles in 6 kilometers?

Evaluate 8j -k+148j−k+14 when j=0.25j=0.25 and k=1k=1.