In: Statistics and Probability
1. Calculate the mean, the variance, and the standard deviation of the following discrete probability distribution.
X | -23 | 17 | -9 | -3 |
P(X=x) | 0.5 | 0.25 | 0.15 | 0.19 |
2. A marketing firm is considering making up to three new hires. Given its specific needs, the form feels that there is a 60% chance of hiring at least two candidates. There is only a 5% chance that it will not make any hires and a 10% chance that it will make all three hires.
*Find the expected value and standard deviation of the number of hires.
1.
mean = sum of (x*P(X))
= -23*0.5 + 17*0.25 + (-9)*0.15 + (-3)*0.19
= -9.17
mean = -9.17
variance = E(X^2) - E(X)^2
= sum of ((x^2)*P(X)) - ( sum of (x*P(X)) )^2
= ((-23)^2*0.5 + (17)^2*0.25 + (-9)^2*0.15 + (-3)^2*0.19) - mean^2
= 350.61 - (-9.17)^2
= 266.5211
variance = 266.5211
Standard deviation = variance^0.5 = 266.5211^0.5 = 16.3255
Standard deviation = 16.3255
2.
P(x>=2) = 0.60 {given}
P(2) + P(3) = 0.60
P(2) + 0.10 {given} = 0.60
P(2) = 0.50
P(0) = 0.05 {given}
P(3) = 0.10 {given}
P(0)+P(1)+P(2)+P(3) = 1
0.05+P(1)+0.50+0.10 = 1
P(1) = 0.35
E(number of hires(x)) = sum of (x*P(x))
= 0*0.05+1*0.35+2*0.50+3*0.10
= 1.65
expected value = 1.65
SD = sum of (x-E)^2 * P(x)
= (0-1.65)^2*0.05+(1-1.65)^2*0.35+(2-1.65)^2*0.50+(3-1.65)^2*0.10
= 0.5275
SD = 0.5275
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