Given normally distributed random variable X with a mean of 10 and a variance of 4, find the following probabilities.  c.P(X < 13) d.P(X > 4)

Trying to find variance. his equation is Prob(x)*[x-e(x)]^2. Just need an example to get me started.Original question is: A call center recieves an average of 10 calls per hour. Assuming the number of calls received follows the poisson distribution, determine the probability of each of the discrete outcomes below. Then calculate the variance component for each one using the standard formula for the variance of a discrete random variable. At the end, take the sum of both columns. Table: Poisson Distribution Table Calls Density Variance 0 0.00%   1 0.05%   2 0.23%   3 0.76%   4 1.89%   5 3.78%   6 6.31%   7 9.01%   8 11.26%   9 12.51%   10 12.51%   11 11.37%   12 9.48%   13 7.29%   14 5.21%   15 3.47%   16 2.17%   17 1.28%   18 0.71%   19 0.37%   20 0.19%   21 0.09%   22 0.04%   23 0.02%   24 0.01%   25 0.00%   26 0.00%   27 0.00%   28 0.00%   29 0.00%   30 0.00%   Sum 100.00%

Q2: A random variable X has a mean = 8, a variance o² = 9, and an unknown probability distribution. Find P(X-826).