X = sigma_i=1^n x_i mu = sigma_i=1^N x_i/N S^2 = sigma_i=1^n (x_i - x)^2 - 1 S = squareroot sigma_i=1^n (x_i - x)^2 - 1 delta^2 = sigma_i=1^N (x_i - mu)^2/N delta = sigma_i=1^N (x_i - mu)^2/N When the mean of a variable is less than the median, the distribution of the variable is said to be: Left-skewed. Lepokurtic. Platykurtic. Right-skewed. Symmetrical. When a variable's distribution has a sharper rising center peak (and thus flatter tails) than that of a normal distribution, it is said to be: Left-skewed. Lepokurtic. Platykurtic. Right-skewed. symmetrical. Use the following information for questions (3) and (4). Suppose a population has a size of six (6) and is comprised of the following numerical observations: 6. 4, 7, 8, 1. and 4 Compute the arithmetic mean for the population. Compute the standard deviation for the population