In: Statistics and Probability
Consider a lottery game in which a person can win $0, $1, $2, or $1,000. The probability of winning nothing when one plays the game is 0.99, the probability of winning $1 is 0.009, and the probability of winning $2 is 0.0009.
X | P(X) | X*P(X) | X² * P(X) |
0 | 0.99 | 0.0000 | 0.0000 |
1 | 0.009 | 0.0090 | 0.0090 |
2 | 0.0009 | 0.0018 | 0.0036 |
1000 | 0.0001 | 0.1000 | 100.0000 |
P(X) | X*P(X) | X² * P(X) | |
total sum = | 1 | 0.1108 | 100.01 |
a)
probability that a person will at least win their money back in the game = P(X≥1) = 0.009+0.0009+0.0001 =0.01
b)
mean = E[X] = Σx*P(X) =
0.1108
E [ X² ] = ΣX² * P(X) =
100.0126
variance = E[ X² ] - (E[ X ])² =
100.0003
std dev = √(variance) =
10.0000
interval of values that are within one standard deviation of the mean = (0.1108±1*10) = (-9.89 , 10.11 )
c)
probability that the lottery winnings will be within one standard deviation of the mean = P(-9.89<x< 10.11 ) = P(X=0)+P(X=1) + P(X=2) = 0.9999