In: Statistics and Probability
Consider the following experiment: Simultaneously toss a fair coin and, independently, roll a fair die.
Let us assume that a fair coin is tossed and a fair die is rolled simultaneously.
In tossing a fair coin we have Head (H) and Tail(T) as the possible outcome.
In rolling a fair die we have 1, 2, 3, 4, 5, 6 as the possible outcome.
a) Let S denotes the sample space which denotes the set of all possible outcomes for tossing a fair coin and rolling a die simultaneously.
Then there are 12 outcomes that comprises the whole sample space given by
S={ (H, 1), (H, 2), (H, 3), (H, 4), (H, 5), (H, 6), (T, 1), (T, 2), (T, 3), (T, 4), (T, 5), (T, 6)}.
b) Let X be a random variable that takes the value 0 or 1 if it shows tail and head. Let Y be a random variable which number that comes up in the die.
Let Z=X+Y. We have possible outcome for X and Y as
X={0, 1}
Y={ 1, 2, 3, 4, 5, 6}.
Therefore the possible value of Z is
Z={ 0+1, 0+2, 0+3, 0+4, 0+5, 0+6, 1+1, 1+2, 1+3, 1+4, 1+5, 1+6 }.
Z={ 1, 2, 3, 4, 5, 6, 2, 3, 4, 5, 6, 7}.
Therefore are total number of 12 elements in the set. Therefore the probability mass function is given by a. The mean of Z is given by
For obtaining the mean of Z, we have to obtain the product z.P(Z=z) given by . Therefore the mean is
b. The variance of Z is given by
Therefore the calculation for variance is given in form of table.
. Therefore the variance based on above two table is given by
. The mean of Z is 4 and Variance of Z is 3.166.