Lesson Problems on computing density probability distribution functions

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Problems on computing density probability distribution functions


Problem 1

Five-digit codes are selected at random from the set  {0, 1, 2, ..., 9}  with replacement.
If the random variable  X  denotes the number of zeros in randomly chosen codes,  then what are
the space of values and the probability density function of  X ?

Solution

The words "with replacement" mean, in this context, that in every of 5 positions, from 1 to 5,
from left to right, any of 10 digits can appear independently of digits in other positions, 
with the probability  1%2F10 = 0.1.


For X, we have 6 possible values, X = 0, 1, 2, 3, 4, 5.


The probability density function of X is

    P(X=0) = %289%2F10%29%5E5 = 0.9%5E5 = 0.59049,

    P(X=1) = C%285%2C1%29%2A0.1%5E1%2A0.9%5E4 = 0.5%2A0.9%5E4 = 0.32805,

    P(X=2) = C%285%2C2%29%2A0.1%5E2%2A0.9%5E3 = 10%2A0.01%2A0.9%5E3 = 0.1%2A0.9%5E3 = 0.0729,

    P(X=3) = C%285%2C3%29%2A0.1%5E3%2A0.9%5E2 = 10%2A0.1%5E3%2A0.9%5E2 = 0.01%2A0.9%5E2 = 0.0081,

    P(X=4) = C%285%2C4%29%2A0.1%5E4%2A0.9%5E1 = 5%2A0.1%5E4%2A0.9 = 0.0005%2A0.9 = 0.00045,

    P(X=5) = C%285%2C5%29%2A0.1%5E5%2A0.9%5E0 = 0.1%5E5 = 0.00001.


CHECK.  0.59049 + 0.32805 + 0.0729 + 0.0081 + 0.00045 + 0.00001 = 1.   (! correct !)

Problem 2

7 men and  3 women are ranked according to their scores on an exam.  Assume that no two scores are alike,
and that all  10!  possible rankings are equally likely.  Let  X  denote the highest ranking achieved by a man
(so  X=1  indicates that a man achieved the highest score on the exam).  Find each of the following:
    (a)   P(X=1);     (b)   P(X=2);     (c)   P(X=3);     (d)   P(X=7).

Solution

(a)  X=1  means that one of the 7 men is in the first position,
          while the rest 6 men and 3 women are distributed in positions from 2 to 10 in arbitrary ways.

     The number of such possible outcomes is C%5B7%5D%5E1%2A9%21 = 7*9!,
     and to find the probability  P(X=1),  we should relate 7*9!  to  10!.


     It gives  P(X=1) = %287%2A9%21%29%2F10%21 = 7%2F10 = 0.7.     


     It is the  ANSWER to (a).



(b)  X=2 means that one of the 3 women is in the first position and one of the 7 men is in the second position,
         while the rest 3-1 = 2 women and 7-1 = 6 men are distributed in positions from 3 to 10 in arbitrary ways.

     The number of such possible outcomes is C%5B3%5D%5E1%2AC%5B7%5D%5E1%2A%282%2B6%29%21 = 3*7*8!,
     and to find the probability  P(X=2),  we should relate  3*7*8!  to  10!.


     It gives  P(X=2) = %283%2A7%2A8%21%29%2F10%21= %283%2A7%29%2F%289%2A10%29 = 21%2F90 = 7%2F30.


     It is the ANSWER to (b).



(c)  X=3 means that two of the 3 women are in the first and in the second positions and one of the 7 men 
         is in the second position,
         while the rest 3-2 = 1 women and 7-1 = 6 men are distributed in positions from 3 to 10 in arbitrary ways.

     The number of such possible outcomes is  C%5B3%5D%5E2%2AC%5B7%5D%5E1%2A%286%2B1%29%21 = %28%283%2A2%29%2F2%29%2A7%2A7%21 = 3*7*7!,
     and to find the probability  P(X=3),  we should relate  3*7*7!  to  10!.


     It gives  P(X=3) = %283%2A7%2A7%21%29%2F10%21= %283%2A7%29%2F%288%2A9%2A10%29 = 7%2F%288%2A3%2A10%29 = 7%2F240.


     It is the ANSWER to (c).



(d)  X=7  means that some man is in the 7th positions and the are no men in positions from 1 to 6.

          But this configuration is not possible (which is obvious), so

              P(X=7) = 0.


     It is the ANSWER to (d).


Thus, all the questions are answered, and the problem is solved completely.


My other lessons on  Probability  in this section are
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    - A company bids on two separate contracts
    - Advanced probability problems related to combinations
    - Using cumulative sums and relevant standard functions to solve problems on Binomial Distributions
    - Miscellaneous binomial distribution problems
    - Binomial distribution problems on overbooking flights
    - Advanced probability problems on binomial distribution
    - Accepting/rejecting shipments via acceptance procedures
    - Probabilistic analysis of testing procedures in health care
    - Probabilistic analysis of testing procedures in industry
    - Probability problems on games
    - Probability problem on winning a many-rounds game
    - A Math circle level probability problem on a lottery game
    - Upper league entertainment probability problems
    - Upper league probability problems on Stars and Bars methodology
    - Upper league problem to maximize winning in a game with 20-sided rolling die
    - Upper league problems on conditional probability
    - Upper League geometric probability problems
    - Probability problems on long chains of related events
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    - Using empirical rules to determine normal distribution probabilities
    - OVERVIEW of lessons on Probability, section 3

Use this file/link  OVERVIEW of lessons on Probability  to navigate over all my lessons on  Probability problems  (section 1)  in this site.

Use this file/link  OVERVIEW of my additional lessons on Probability  to navigate over all my lessons on additional  Probability problems  (section 2)  in this site.

Use this file/link  ALGEBRA-II - YOUR ONLINE TEXTBOOK  to navigate over all topics and lessons of the online textbook  ALGEBRA-II.



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