Sunday 30 July 2017

AS 2 SY BBA


AS-2  
  •  Assuming that the typing mistake per page committed by a typist follows a Poisson distribution; find the expected frequencies for the following distribution of typing mistakes:

Number of mistake per page
0
1
2
3
4
5
Number of pages
40
30
20
15
10
5
 (e-1.5 = 0.22313)  
  • The following table give the number of days in a 50 days period during which automobile accidents occurred in a city. Fit a poisson distribution to the data (e-0.9 = 0.4066)

No. of accidents
0
1
2
3
4
No. of days
21
18
7
3
1



  •  It is given that 3 per cent of electric bulbs manufactured by a company are defective. Find the probability that a sample of 100 bulbs will contain (i) no defective (ii) exactly one defective.  (e-3  = 0.05)
  •  In a company during a break time of half an hour on average 15 calls are coming. find the probability that (i) there are at least 2 calls per five minutes (ii) There are at the most 2 calls per five minutes.
  •  If mean of a Poisson distribution is 4, then find standard deviation of the distribution.
  • The minor injuries a cricket player can expect during the net practice is a random variable having the Poission distribution with (Lamda) = 4.4. Find the probability that during the net practice there will be at the most one minor injuries.
  • Give properties of Poission distribution.

Sunday 23 July 2017

SY BBA QM III : AS-1

AS-1


  1. The probability distribution of a random variable x is given below. Find E(x) and V(x).
    X
    -2
    -1
    0
    1
    2
    P(x)
    2k
    K
    3k
    3k
    k
  2.  The following table show the distribution of 128 samples. Fit a binomial distribution and find expected frequency:
X
0
1
2
3
4
5
6
7
Samples
7
6
19
35
30
23
7
1
2.                 
                        3. The probability function of binomial distribution is P(x) = 10Cx (0.8)^x (0.2)^(10-x), then find its variance.
3.       The probability distribution of a random variable  x  is as follow: Find mean and S.D.
Xi
2
3
4
5
6
7
8
9
10
P(Xi)
0.05
0.1
0.3
0.2
0.05
0.1
0.05
0.1
0.05
4.       
                4. The probability distribution of a random variable x is given below, find mean and variance.
X
8
12
16
20
24
P(X)
1/8
1/6
3/8
1/4
1/12
5.       
                         5.    Four coins are tossed simultaneously. find the probability of getting 2 head.
6.       
                6.   A and B play a game in which the probability of winning of A is 2/3, find the probability that A will win at least 6 times out of 8 trials.

               7.  The probability that in certain correspondence course student will graduate is 0.4. Determine the probability that out of 5 students (a)none (b) one (c) at least one will graduate.