In: Statistics and Probability
A cooler has 6 Gatorades, 2 colas, and 4 waters. You select 3 beverages from the cooler at random. Let B denote the number of Gatorade selected and let C denote the number of colas selected. For example, if you grabbed a cola and two waters, then C = 1 and B = 0.
a) construct a joint probability distribution for B and C.
b) compute E[3B-C^2].
Solution
Back-up Theory
Probability of an event E, denoted by P(E) = n/N ………………………………................……….……(1)
where
n = n(E) = Number of outcomes/cases/possibilities favourable to the event E and
N = n(S) = Total number all possible outcomes/cases/possibilities.
Number of ways of selecting r things out of n things is given by nCr = (n!)/{(r!)(n - r)!}….................…(2)
Values of nCr can be directly obtained using Excel Function: Math & Trig COMBIN….................…. (2a)
If a discrete random variable, X, has probability function) p(x), x = x1, x2, …., xn, then
Expected value of X = E(X) = Σ{x.p(x)} summed over all possible values of x…….......................…. (3)
Expected value of a function f(x) of variable X = E{f(X)} = Σf(x).p(x)} summed over all possible
values of x………………………………………………………………………....................………………(3a)
Now to work out the solution,
Part (a)
We have 12 beverages, 6 Gatorades, 2 colas, and 4 waters and we select 3 beverages
from the cooler at random.
So, vide (1) and (2), N = 12C3 = 220 .................................................................................................. (4)
C = c and B = b => number of colas = c, number of Gatrode = b and hence number of
waters = 3 – c – b.
Thus, for C = c and B = b, n = (2Cc) x (6Cb) x (4C3-c-b) [vide (1), (2)................................................... (5)
And hence joint probability for C = c and B = b is: (5)/220 ....................................................................(6)
For possible values of c and b, joint probability is tabulated below:
| 
 c  | 
 b  | 
 w  | 
 n  | 
 Joint probability  | 
| 
 0  | 
 0  | 
 3  | 
 4  | 
 0.0182  | 
| 
 0  | 
 1  | 
 2  | 
 36  | 
 0.1636  | 
| 
 0  | 
 2  | 
 1  | 
 60  | 
 0.2727  | 
| 
 0  | 
 3  | 
 0  | 
 20  | 
 0.0909  | 
| 
 1  | 
 0  | 
 2  | 
 12  | 
 0.0545  | 
| 
 1  | 
 1  | 
 1  | 
 48  | 
 0.2182  | 
| 
 1  | 
 2  | 
 0  | 
 30  | 
 0.1364  | 
| 
 2  | 
 0  | 
 1  | 
 4  | 
 0.0182  | 
| 
 2  | 
 1  | 
 0  | 
 6  | 
 0.0273  | 
| 
 Total  | 
 220  | 
 1  | 
||
Answer 1
Part (b)
E[3B-C2] = Σ{(3b – c2) (p), summed over all possible values of b and c, where p is the corresponding joint probability [vide (3a)]
= 2.9545 Answer 2
Details
| 
 c  | 
 b  | 
 w  | 
 prob  | 
 3b - c2  | 
 prob x (3b - c2)  | 
| 
 0  | 
 0  | 
 3  | 
 0.0182  | 
 -9  | 
 -0.1636  | 
| 
 0  | 
 1  | 
 2  | 
 0.1636  | 
 -1  | 
 -0.1636  | 
| 
 0  | 
 2  | 
 1  | 
 0.2727  | 
 5  | 
 1.3636  | 
| 
 0  | 
 3  | 
 0  | 
 0.0909  | 
 9  | 
 0.8182  | 
| 
 1  | 
 0  | 
 2  | 
 0.0545  | 
 -4  | 
 -0.2182  | 
| 
 1  | 
 1  | 
 1  | 
 0.2182  | 
 2  | 
 0.4364  | 
| 
 1  | 
 2  | 
 0  | 
 0.1364  | 
 6  | 
 0.8182  | 
| 
 2  | 
 0  | 
 1  | 
 0.0182  | 
 -1  | 
 -0.0182  | 
| 
 2  | 
 1  | 
 0  | 
 0.0273  | 
 3  | 
 0.0818  | 
| 
 1  | 
 2.9545  | 
DONE