Woodrow Wilson (Administrative Thinker)

Woodrow Wilson




Woodrow Wilson’s contribution to the field of public administration may be summarized as :


§  Wilson laid the intellectual roots for the emergence of public administration as a field/subject of enquiry through his essay “ The Study of Administration” in 1887.
§  “ The Study of Administration” traced the history of administration as a new development political science, presented the value of the study and indicated the methods by means which it ought to be carried.
§  “ The Study of Administration” was the result of Wilson’s search to find answers to the political abuses of the spoil system and finding ways of assimilation of European administrative systems into  American democratic politics.
§  He emphasized  the importance study of administration in the context of increasing complexity in society, increasing role of state and democratic nature of governments.
§  Wilson considered administration eminently a science and pleaded for the development of clear concepts of good administration.
§  He examined the relationship between politics and administration and considered them as separate activities at one level and interdependent at another. This vagueness lead to different interpretations of his views on politics and administration relationships.
§  He focused on the implementation aspects of the government and advocated the need for technically competent civil service based on merit.
§  Wilson emphasized the importance of comparative method, particularly learning from others about the ways of doing things without learning without learning their motives and ends; and

§  “ The Study of Administration” was too general, too broad and too vogue, as Wilson himself put it. It gave scope for different interpretations of Wilson’s views and also assessment of his contribution to the study of public administration. Looking in a historical context when the political debate was mainly on “who” should make laws and “what” the laws should be, his focus on “how” law should be ‘administered’ is a seminal contribution.



Profit and Loss Formulae

Profit and Loss Formulae 



Probability – Sample space for two dice (outcomes)

Probability – Sample space for two dice (outcomes):
Probability for Rolling Two Dice
Note:
(i) The outcomes (1, 1), (2, 2), (3, 3), (4, 4), (5, 5) and (6, 6) are called doublets.
(ii) The pair (1, 2) and (2, 1) are different outcomes.

Worked-out problems involving probability for rolling two dice:
1. Two dice are rolled. Let A, B, C be the events of getting a sum of 2, a sum of 3 and a sum of 4 respectively. Then, show that
(i) A is a simple event
(ii) B and C are compound events
(iii) A and B are mutually exclusive
Solution: 
Clearly, we have
A = {(1, 1)}, B = {(1, 2), (2, 1)} and C = {(1, 3), (3, 1), (2, 2)}.
(i) Since A consists of a single sample point, it is a simple event.
(ii) Since both B and C contain more than one sample point, each one of them is a compound event.
(iii) Since A ∩ B = ∅, A and B are mutually exclusive.
2. Two dice are rolled. A is the event that the sum of the numbers shown on the two dice is 5, and B is the event that at least one of the dice shows up a 3.
Are the two events (i) mutually exclusive, (ii) exhaustive? Give arguments in support of your answer.
Solution: 
When two dice are rolled, we have n(S) = (6 × 6) = 36.
Now, A = {(1, 4), (2, 3), (4, 1), (3, 2)}, and
B = {(3, 1), (3, 2), (3, 3), (3, 4), (3, 5), (3, 6), (1,3), (2, 3), (4, 3), (5, 3), (6, 3)}
(i) A ∩ B = {(2, 3), (3, 2)} ≠ ∅.
Hence, A and B are not mutually exclusive.
(ii) Also, A ∪ B ≠ S.
Therefore, A and B are not exhaustive events.

More examples related to the questions on the probabilities for throwing two dice.
3. Two dice are thrown simultaneously. Find the probability of:
(i) getting six as a product
(ii) getting sum ≤ 3
(iii) getting sum ≤ 10
(iv) getting a doublet
(v) getting a sum of 8
(vi) getting sum divisible by 5
(vii) getting sum of atleast 11
(viii) getting a multiple of 3 as the sum
(ix) getting a total of atleast 10
(x) getting an even number as the sum
(xi) getting a prime number as the sum
(xii) getting a doublet of even numbers
(xiii) getting a multiple of 2 on one die and a multiple of 3 on the other die
Solution: 
Two different dice are thrown simultaneously being number 1, 2, 3, 4, 5 and 6 on their faces. We know that in a single thrown of two different dice, the total number of possible outcomes is (6 × 6) = 36.
(i) getting six as a product:
Let E1 = event of getting six as a product. The number whose product is six will be E1= [(1, 6), (2, 3), (3, 2), (6, 1)] = 4
Therefore, probability of getting ‘six as a product’
               Number of favorable outcomes
P(E1) =     Total number of possible outcome 


      = 4/36
      = 1/9

(ii) getting sum ≤ 3:
Let E2 = event of getting sum ≤ 3. The number whose sum ≤ 3 will be E2 = [(1, 1), (1, 2), (2, 1)] = 3
Therefore, probability of getting ‘sum ≤ 3’
               Number of favorable outcomes
P(E2) =     Total number of possible outcome 


      = 3/36
      = 1/12

(iii) getting sum ≤ 10:
Let E3 = event of getting sum ≤ 10. The number whose sum ≤ 10 will be E3 =
[(1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (1, 6),
(2, 1), (2, 2), (2, 3), (2, 4), (2, 5), (2, 6),
(3, 1), (3, 2), (3, 3), (3, 4), (3, 5), (3, 6),
(4, 1), (4, 2), (4, 3), (4, 4), (4, 5), (4, 6)
(5, 1), (5, 2), (5, 3), (5, 4), (5, 5),
(6, 1), (6, 2), (6, 3), (6, 4)] = 33
Therefore, probability of getting ‘sum ≤ 10’
               Number of favorable outcomes
P(E3) =     Total number of possible outcome 


      = 33/36
      = 11/12

(iv) getting a doublet: Let E4 = event of getting a doublet. The number which doublet will be E4 = [(1, 1), (2, 2), (3, 3), (4, 4), (5, 5), (6, 6)] = 6
Therefore, probability of getting ‘a doublet’
               Number of favorable outcomes
P(E4) =     Total number of possible outcome 


      = 6/36
      = 1/6

(v) getting a sum of 8:
Let E5 = event of getting a sum of 8. The number which is a sum of 8 will be E5 = [(2, 6), (3, 5), (4, 4), (5, 3), (6, 2)] = 5
Therefore, probability of getting ‘a sum of 8’
               Number of favorable outcomes
P(E5) =     Total number of possible outcome 


      = 5/36

(vi) getting sum divisible by 5:
Let E6 = event of getting sum divisible by 5. The number whose sum divisible by 5 will be E6 = [(1, 4), (2, 3), (3, 2), (4, 1), (4, 6), (5, 5), (6, 4)] = 7
Therefore, probability of getting ‘sum divisible by 5’
               Number of favorable outcomes
P(E6) =     Total number of possible outcome 


      = 7/36

(vii) getting sum of atleast 11:
Let E7 = event of getting sum of atleast 11. The events of the sum of atleast 11 will be E7 = [(5, 6), (6, 5), (6, 6)] = 3
Therefore, probability of getting ‘sum of atleast 11’
               Number of favorable outcomes
P(E7) =     Total number of possible outcome 


      = 3/36
      = 1/12

(viii) getting a multiple of 3 as the sum:
Let E8 = event of getting a multiple of 3 as the sum. The events of a multiple of 3 as the sum will be E8 = [(1, 2), (1, 5), (2, 1), (2, 4), (3, 3), (3, 6), (4, 2), (4, 5), (5, 1), (5, 4), (6, 3) (6, 6)] = 12
Therefore, probability of getting ‘a multiple of 3 as the sum’
               Number of favorable outcomes
P(E8) =     Total number of possible outcome 


      = 12/36
      = 1/3

(ix) getting a total of atleast 10:
Let E9 = event of getting a total of atleast 10. The events of a total of atleast 10 will be E9 = [(4, 6), (5, 5), (5, 6), (6, 4), (6, 5), (6, 6)] = 6
Therefore, probability of getting ‘a total of atleast 10’
               Number of favorable outcomes
P(E9) =     Total number of possible outcome 


      = 6/36
      = 1/6

(x) getting an even number as the sum:
Let E10 = event of getting an even number as the sum. The events of an even number as the sum will be E10 = [(1, 1), (1, 3), (1, 5), (2, 2), (2, 4), (2, 6), (3, 3), (3, 1), (3, 5), (4, 4), (4, 2), (4, 6), (5, 1), (5, 3), (5, 5), (6, 2), (6, 4), (6, 6)] = 18
Therefore, probability of getting ‘an even number as the sum
               Number of favorable outcomes
P(E10) =     Total number of possible outcome 


      = 18/36
      = 1/2

(xi) getting a prime number as the sum:
Let E11 = event of getting a prime number as the sum. The events of a prime number as the sum will be E11 = [(1, 1), (1, 2), (1, 4), (1, 6), (2, 1), (2, 3), (2, 5), (3, 2), (3, 4), (4, 1), (4, 3), (5, 2), (5, 6), (6, 1), (6, 5)] = 15
Therefore, probability of getting ‘a prime number as the sum’
               Number of favorable outcomes
P(E11) =     Total number of possible outcome 


      = 15/36
      = 5/12

(xii) getting a doublet of even numbers:
Let E12 = event of getting a doublet of even numbers. The events of a doublet of even numbers will be E12 = [(2, 2), (4, 4), (6, 6)] = 3
Therefore, probability of getting ‘a doublet of even numbers’
               Number of favorable outcomes
P(E12) =     Total number of possible outcome 


      = 3/36
      = 1/12


(xiii) getting a multiple of 2 on one die and a multiple of 3 on the other die:
Let E13 = event of getting a multiple of 2 on one die and a multiple of 3 on the other die. The events of a multiple of 2 on one die and a multiple of 3 on the other die will be E13 = [(2, 3), (2, 6), (3, 2), (3, 4), (3, 6), (4, 3), (4, 6), (6, 2), (6, 3), (6, 4), (6, 6)] = 11
Therefore, probability of getting ‘a multiple of 2 on one die and a multiple of 3 on the other die’
               Number of favorable outcomes
P(E13) =     Total number of possible outcome 


      = 11/36


4. Two dice are thrown. Find (i) the odds in favour of getting the sum 5, and (ii) the odds against getting the sum 6.
Solution:
We know that in a single thrown of two die, the total number of possible outcomes is (6 × 6) = 36.
Let S be the sample space. Then, n(S) = 36.
(i) the odds in favour of getting the sum 5:
Let E1 be the event of getting the sum 5. Then,
E1 = {(1, 4), (2, 3), (3, 2), (4, 1)} 
⇒ P(E1) = 4
Therefore, P(E1) = n(E1)/n(S) = 4/36 = 1/9
⇒ odds in favour of E1 = P(E1)/[1 – P(E1)] = (1/9)/(1 – 1/9) = 1/8.

(ii) the odds against getting the sum 6:
Let E2 be the event of getting the sum 6. Then,
E2 = {(1, 5), (2, 4), (3, 3), (4, 2), (5, 1)} 
⇒ P(E2) = 5
Therefore, P(E2) = n(E2)/n(S) = 5/36 
⇒ odds against E2 = [1 – P(E2)]/P(E2) = (1 – 5/36)/(5/36) = 31/5.

These examples will help us to solve different types of problems based on probability for rolling two dice.