1. Consider throwing 2 usual dice. In each play, we observe the number of dots that stay on top, sum the returned result and to that sum, we apply the rule of casting out nines. For example, if one dice has 6 dots and the other 4 dots, we get a sum of 10 dots, and, casting out nines, we achieve a result of 1.
1.1 Identify the space of results and the underlined X random variable;
1.2 How many ways we have to obtain a result of 2, according to the procedure described above?
1.3 Calculate the value of P(X = 2) and P(X <= 5 | X >= 2) [P -> probability]
1.4 Calculate the probability function and the probability distribution of X.
2. Consider the random variable X.
2.1 Prove that V(X) = E(X2) - E2 (X) [ V(x) is the variance of X ].
2.2 Calculate the expected value and the variance of random variable X from exercise 1.
3. The number of clients that go, every hour, to a bank agency, is processed according the Poisson distribution. We know that in one hour the probability of entering 15 clients is 0,031 and in the same period the probability of entering 16 clients is 0,062.
Now, calculate the mean of clients entrance in the bank agency by hour.
4. The joint probability function of two random discrete variables X and Y, with natural values (not negative) included zero, is equal to values (not negative) included zero, is equal to f (x, y) = c (2x + y) if x E [0,1, 2) and if y E (0, 1, 2, 3), with f (x, y) = 0 in every cases.
4.1 Calculate
4.1.1 Calculate the value of c.
4.1.2 Calculate the value of P(X = 2, Y = 1).
4.1.3 Calculate the value of P(X >= 1, Y <= 2).
4.1.4 The marginal probability functions of X and Y.
4.2 Verify if the random variables X and Y are dependent or not. Justify your answer with all necessary calculations.