Mobules 22&23: Combinatorics and Probability Flashcards

1
Q

Combinatorics vs Permutations

A

Combinatorics: order doesn’t matter
Permutations: order DOES matter

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Combination: Basic Combination Formula

A

nCk = n! / [(n-k)! * k!]

n = total number of objects
k = number of objects that will be chosen
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Combination: Box & Fill Method

A

1) Create X number of boxes for the amount of decisions that need to be made. This will be the numerator
2) Fill the box with the number of options available during each choice
3) Fill denominator with the factorial of the number of boxes
4) Solve

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Fundamental Counting Principal

A

If there are M ways to perform task 1 and N ways to perform task 2 and the tasks are independent, there are m x n ways to perform both tasks together.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

AND vs. OR

A
And = multiply the results
Or = add the results
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

When I see I need to choose “at least” some number of items, I will

A

probably skip the question…

BUT if I don’t, need to find the combination value for each possible scenario included in the “at least.”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Collectively Exhaustive Scenarios

A

Two events are CE if together they represent all of the potential outcomes. (add all possibilites from each.)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

When I see a “X items can’t be chosen together” problem, I will

A

1) Find the total possible ways if there were no restrictions.
2) Find the total possible ways that the two people could be chosen together.
3) Subtract: 1 - 2

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Basic Permutation Formula

A

nPk = n! / (n - k)!

n = number of items
k = number of objects chosen

Same as combination without the additional k! multiplied in the denominator.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

When I see a combination/permutation problem, I will

A

BEFORE ANYTHING ELSE, determine if the order matters (permutation) or not (combination.) Different strategies, formulas, etc

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Permutation: Box & Fill Method

A

1) Create X number of boxes for the amount of decisions that need to be made.
2) Multiply the values in the boxes. That’s it. (Combination requires a denominator of the # of boxes, factorial’d)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

When I see a permutation problem, I will

A

be careful not to double-count indistinguishable permutations.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Permutation Formula for Indistinguishable Items

A

N! / r1! x r2! x r3!

Use R as each group of 2 or more indistinguishable items.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Permutations: If N Items are to be Arranged in a Circle (Formula)

A

(N - 1)!

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

When a permutation problem requires 2 items to be adjacent in the order, I will

A

consider them as one item. Then, to reflect the fact that they could be ordered 1-2 or 2-1, multiply the resulting number of combinations by 2.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Basic Probability Formula

A

number of desirable outcomes / number of total possible outcomes

17
Q

When finding the probability of multiple events occurring, I will

A

determine if the events are independent (don’t affect the probability of one another) or dependent (they do.)

18
Q

Probability of two non-mutually-exclusive events occuring

A

P(A) + P(B) - P(Both)

19
Q

If there are X possible ways that an outcome can occur, and each way has the same probability, then the total probability of the situation is:

A

X * [probability of any one way]

20
Q

When I see “at least” in a probability problem, I will

A

remember that each number above the “at least” threshold is mutually exclusive, and the probabilities of each need to be ADDED, not multiplied

21
Q

When I See “at least ONE” in a probability problem, I will

A

use the 1 - x method to calculate the probability faster.

22
Q

Trick to solve algebraic probability problems (probability is given but number of items is not)

A

Quadratic formula. First scenario, desired value is X, the total value is the total given. The second scenario, desired value is X - 1, total is total - 1.