Suppose that in a day, the probability of a car agent’'s not closing any deal is 0.35. on the other hand, the probability that he/she can close one deal is 0.3; two deals, 0.25; and three deals, 0.1. find the agent’s expected number of closed deals in a day and determine the variance and standard deviation.
Let X - the random variable of the number of closed deals in a day.
The mean (the agent’s expected number of closed deals in a day):
"\\mu=\\sum x_i\\cdot P(x_i)=\\\\\n=0\\cdot0.35+1\\cdot0.3+2\\cdot0.25+3\\cdot0.1=1.1."
The variance:
"\\sigma^2=\\sum(x_i-\\mu)^2\\cdot P(x_i),"
"X-\\mu=\\\\\n=\\{ 0-1.1, 1-1.1, 2-1.1, 3-1.1\\}=\\\\\n=\\{-1.1,-0.1,0.9,1.9\\},"
"\\sigma^2=(-1.1)^2\\cdot0.35+(-0.1)^2\\cdot0.3+0.9^2\\cdot0.25+\\\\\n+1.9^2\\cdot0.1=0.99."
The standard deviation:
"\\sigma=\\sqrt{0.99}=0.995."
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