Page 156 - DMTH404_STATISTICS
P. 156

Statistics



                      Notes             When two or more random variables X and Y are studied simultaneously on a sample
                                         space, we get a joint probability distribution. Consider the experiment of throwing two
                                         unbiased dice.  If X denotes the number on  the first and Y denotes the number on the
                                         second die, then X and Y are random variables having a joint probability distribution.
                                         When  the number  of random  variables  is  two, it  is  called  a  bi-variate  probability
                                         distribution and if the number of random variables become more than two, the distribution
                                         is termed as a multivariate probability distribution.
                                    10.7 Keywords


                                    Expected value: Expected value of a constant is the constant itself, i.e., E(b) = b, where b is a
                                    constant.

                                    Variance: The variance of a constant is zero.
                                    10.8 Self Assessment


                                    1.   When a random variable is expressed in monetary units, its expected value is often termed
                                         as expected monetary value and symbolised by .....................

                                         (a)  probability  distribution  (b)  EMV
                                         (c)  Covariance               (d)  random variables
                                    2.   The set of all possible values of the random variable X along with their respective marginal
                                         probabilities is termed as the marginal .................... of X.
                                         (a)  probability  distribution  (b)  EMV
                                         (c)  Covariance               (d)  random variables
                                    3.   If X and Y are two .................... , then E(X + Y) = E(X) + E(Y).

                                         (a)  probability  distribution  (b)  EMV
                                         (c)  Covariance               (d)  random variables
                                    4.   The mean of the product of deviations of values from their respective means, is known as
                                         the .................... of X and Y denoted as Cov(X, Y) or  XY  .
                                         (a)  probability  distribution  (b)  EMV
                                         (c)  Covariance               (d)  random variables

                                    10.9 Review Questions

                                    1.   ABC company estimates the net profit on a new product, that it is launching, to be Rs
                                         30,00,000 if it is successful, Rs 10,00,000 if it is moderately successful and a loss of Rs
                                         10,00,000 if it is unsuccessful. The firm assigns the following probabilities to the different
                                         possibilities : Successful 0.15, moderately successful 0.25 and unsuccessful 0.60. Find the
                                         expected value and variance of the net profits.

                                         Hint : See example 5.
                                    2.   There are 4 different choices available to a customer who wants to buy a transistor set. The
                                         first type costs Rs 800, the second type Rs 680, the third type Rs 880 and the fourth type Rs
                                                                                           1 1 1     1
                                         760. The probabilities that the customer will buy these types are  , ,  and    respectively.
                                                                                           3 6 4     4




            148                              LOVELY PROFESSIONAL UNIVERSITY
   151   152   153   154   155   156   157   158   159   160   161