Question #327669

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.


Expert's answer

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):

μ=∑xi⋅P(xi)==0⋅0.35+1⋅0.3+2⋅0.25+3⋅0.1=1.1.\mu=\sum x_i\cdot P(x_i)=\\ =0\cdot0.35+1\cdot0.3+2\cdot0.25+3\cdot0.1=1.1.


The variance:

σ2=∑(xi−μ)2⋅P(xi),\sigma^2=\sum(x_i-\mu)^2\cdot P(x_i),

X−μ=={0−1.1,1−1.1,2−1.1,3−1.1}=={−1.1,−0.1,0.9,1.9},X-\mu=\\ =\{ 0-1.1, 1-1.1, 2-1.1, 3-1.1\}=\\ =\{-1.1,-0.1,0.9,1.9\},

σ2=(−1.1)2⋅0.35+(−0.1)2⋅0.3+0.92⋅0.25++1.92⋅0.1=0.99.\sigma^2=(-1.1)^2\cdot0.35+(-0.1)^2\cdot0.3+0.9^2\cdot0.25+\\ +1.9^2\cdot0.1=0.99.


The standard deviation:

σ=0.99=0.995.\sigma=\sqrt{0.99}=0.995.



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