You pay 168 dollars to play a lottery. A bin contains 91 balls labeled from 1 to 91. You draw a ball and you receive cash in the amount of 3 times the number shown on the ball. Let X be the number shown on the ball.
(a) Identify the probability distribution for the X.
Distribution =Â Parameter =Â Â Â Â
(b) Calculate the probability that you get more money back than you have spent on the ticket.
P(you win) =Â Â Â Â
(c) Calculate the average number that you will draw. Calculate the standard deviation for this number.
μ =   Â
σ =   Â
(d) Calculate the average amount that you will gain (winnings minus what you paid) by purchasing a ticket. Calculate the standard deviation associated to this number.
Average Gain (Winnings - paid) =Â Â Â Â
SD of Gain =Â Â Â Â
a) We can select each ball with probability of "1\/91\\approx0.011"
"P(X)=0.011~for~X~from~1~to~91"
This is a uniform distribution.
"b)~P(winning)=P(3X>168)=P(X>56)=\\\\\n=(91-56)\/91=5\/13\\approx0.385"
"c)~\\mu=\\frac{1}{91}\\sum_{k=1}^{91}k=\\frac{1}{91}\\frac{91(91+1)}{2}=46\\\\\n\\sigma^2=\\frac{1}{90}\\sum_{k=1}^{91}(k-\\mu)^2=\\frac{1}{90}(\\sum_{k=1}^{45}(46-k)^2+\\\\\n+\\sum_{k=47}^{91}(k-46)^2)=\\frac{1}{90}(\\sum_{k=1}^{45}k^2+\\sum_{k=1}^{45}k^2)=\\\\\n=\\frac{1}{45}\\sum_{k=1}^{45}k^2"
For the sum of squares we will use the following formula:
"\\sum_{k=1}^nk^2=\\frac{1}{6}n(n+1)(2n+1)"
"\\sigma^2=\\frac{1}{45\\cdot6}45\\cdot46\\cdot91\\approx698\\\\\n\\sigma=\\sqrt{\\sigma^2}\\approx26.4"
d) Average gain:
"G=\\frac{1}{91}\\sum_{k=1}^{91}(3k-168)=\\\\\n=3\\mu-168=-30"
Variance of gain:
"SD^2=\\frac{1}{90}\\sum_{k=1}^{91}((3k-168)-(-30))^2=\\\\\n=\\frac{1}{90}\\sum_{k=1}^{91}(3k-138)^2=\\frac{1}{90}(9\\sum_{k=1}^{91}k^2-\\\\\n-2\\cdot3\\cdot138\\sum_{k=1}^{91}k+91\\cdot138^2)=\\\\\n=\\frac{1}{90}(9\\cdot\\frac{1}{6}\\cdot91\\cdot92\\cdot183-138(6\\cdot\\frac{91\\cdot92}{2}-\\\\\n-91\\cdot138))=6279"
Standard deviation of gain:
"SD=\\sqrt{SD^2}\\approx79.24"
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