Probability-Combinatorics

 Combinatorics

The different combinations from specific finite sets

It has some restrictions

1. Repetition

2. Order

3. Different Criteria

So we have 3 things

1. Permutation

2. Variations

3. Combinations

# No of favorable outcomes

# No of all elements in a sample space

Permutations

The number of different possible ways we can arrange a set of elements

P n = n x (n-1) x (n-2)x............ 1 = n!

n! = Product of numbers from 1 to n

Negative numbers don't have factorial

0!=1

Example

6! = 5! x 6

7! = 6! x 7

(n + k)! and (n - k )!

(n + k)!= n! x ( n+1) x (n+2) x .......(n+k)

(n - k)!=                           n!                           

               (n - k + 1) x ( n - k + 2)..........x n

n > k

n!/k!= ( k + 1)  x ( k + 2) x ............... x n

7!/4!= 5 x 6 x 7

Variations

The total number of ways we can pick and arrange some elements of a given set


The intuition behind the formula. (With Repetition)

 • We have n - many options for the first element.

 • We still have n - many options for the second element because repetition is allowed.

 • We have n- many options for each of the p- many elements


Variations Don't take into account double counting element


The intuition behind the formula. (Without Repetition) 
• We have n- many options for the first element. 
• We only have (n-1)-many options for the second element because we cannot repeat the value for we chose to start with. 
• We have fewer options left for each additional element.

Combinations

The number of different ways we can pick certain elements of a set

* All the different permutations of a  single combination are different variations

C= V/P

A B C
B A C
C B A      -- These are different Variation, not different Combination
B C A
C A B
A C B

Let us have to choose 3 names out of 10 name

for 1 combination we have 6 Variation

V(10,3)= 10 x 9 x 8 = 720

C(10,3)= 720/6= 120





    ** Symmetry of Combinations

   Picking more elements can lead to having fewer combinations
  
since selecting p elements is the same as omitting n-p elements

A Combination can be a mixture of different smaller individual events

  
**Combinations with separate sample spaces

Combinations represent the number of different possible ways we can pick a number of elements
Characteristics of Combinations with separate sample spaces: 

• The option we choose for any element does not affect the number of options for the other elements. 
• The order in which we pick the individual elements is arbitrary. 
• We need to know the size of the sample space for each individual element. (𝑛1, 𝑛2 … 𝑛𝑝)




































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