Math 662- Exam I    Name:__________________

November 10, 1998                                                           Student #:________________

 

Must show all work for full credit!!!

 

I pledge that I have not violated the NJIT code of honor____________________________

 

 

1.          A grain loader can be set to discharge grain in amounts that are normally distributed with mean m bushels and a standard deviation equal to 25.7 bushels. If a company wishes to use the loader to fill containers that hold 2000 bushels of grain and wants to overfill only one container in 100, at what value of m should the company set the loader?

(15 pts)

 

 

 

 

 

 

 

 

 

 

 

 

2(a)  Let X1, X2,…,Xn be mutually independent identically distributed with density  f(x) > 0

        defined on the real line. Find the distribution of the number of variables

        Xi, i = 1,2,…,n   that lie in the interval (a, b).

(15 pts)

 

 

 

 

 

 

 

 

 

 

 

 (b)   Define the mutual independence of k events A1,  A2, …, Ak. If these A’s are    

        mutually independent what can you say about the independence of  A1,  A2, A3, not

        A4, …,(all negations), and not Ak. Explain your answer with logical details.

(15 pts)

 

 

 

 

 

 

 

 

 

3.       An automobile insurance company classifies each driver as a good risk (A1), a  medium risk (A2), or a poor risk (A3). Of those currently insured, 30% are good risks,

      50% are medium risks and 20% are poor risks. In any given year, the probability that   

      a driver will have at least one citation is 0.1 for a good risk, 0.3 for a medium risk,   

      and 0.5 for a poor risk. If a randomly chosen driver insured by this company has at   

      least one citation during the next year then what is the probability that the driver was

      actually a good risk?

(15pts)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

4. The joint probability density of X and Y is given by  

 

    fx,y(x, y) = 3(x + y)I(0,1)(x) I(0,1)(y) I(0,1)(x+y)

 

(a)  Find Marginal density of X

(10 pts)

 

 

 

 

 

 

 

 

 

 

             (b)  P(Y < 0.5/ X = 0.3)

(10 pts)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(c)  P(Y< 0.5/ X < 0.3)

(10pts)

 

 

 

 

 

 

 

 

 

 

 

 

 

(d)  The correlation rx,y

(10 pts)