Probability Flashcards

0
Q

Permutations without repetition

A

(n!)/(n-r)!

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1
Q

Permutation with repetition

A

n^r

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2
Q

Combination with repetition

A

nCr = n!/[r!(n-r)!]

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3
Q

Combinations with repetition

A

(n+r-1)!/[r!(n-1)!]

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4
Q

A college planning committee consists of 3 freshman, 4 sophomores, 5 juniors, and 2 seniors. A subcommittee of 4, consisting of 1 person from each class, is to be chosen. How many different subcommittees are possible?

A

3x4x5x2 = 120 (by generalized version of the basic principle)

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5
Q

Ms. Jones has 10 books that she is going to put on her bookshelf. Of these, 4 are mathematics books, 3 are chemistry, 2 are history, and 1 is language. Ms. Jones wants to arrange her books so that all the books dealing with the same subjects are together on the shelf. How many different arrangements are possible?

A

There are 4! possible arrangements of the SUBJECTS, and there are 4!3!2!1! possible arrangements PER SUBJECT, so it’s 4!4!3!2!1! = 6912.

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6
Q

How many different letter arrangements can be formed from the letters PEPPER?

A

First, there are 6! permutations of the letters. However, since there are 2 E’s, and 3 P’s that repeat, 3!2! permutations are the same. Therefore, 6!/(2!3!) = 60 possible letter arrangements.

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7
Q

From a group of 5 women and 7 men, how many different committees consisting of 2 women and 3 men can be formed? What if 2 of the men are feuding and refuse to serve on the committee together?

A

a) There are (5C2)(7C3) = 350 possible choices.
b) There is a total of (2C2)(5C1) = 5 out of the (7C3) = 35 possible groups of 3 men that consist of the two feuding men. So 35-5 = 30 possible choices for men, times (5C2) for women, so 30x10 = 300 choices.

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8
Q

Consider a set of n antennas of which m are defective and n-m are functional and assume that all of the defectives and all of the functionals are indistinguishable. How many linear orderings are there in which no two defectives are consecutive?

A

In the n-m+1 possible positions → NYNY—NYNY→ we must place m antennas between n-m functional antennas. Hence, there are (n-m+1Cm) possible orderings.

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9
Q

Useful combinatorial identity: nCr =?

A

nCr = (n-1)C(r-1) + (n-1)C(r) 1≤ r ≤ n

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10
Q

Binomial Theorem

A

(x+y)ⁿ = ∑{i=0 to n}(nCi)x^i y^(n-i)

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11
Q

A set of n distinct items is to be divided into r DISTINCT groups of respective sizes n₁, n₂,…, n_r, where ∑{i=1 to r}n_i = n. How many different versions are possible?

A

n!/(n₁! n₂!…n_r!) = nC(n₁, n₂,…,n_r)

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12
Q

Ten children are to be divided into an A team and a B team of 5 each. How many different divisions are possible?

A

10!/(5!5!) = 252 possible divisions

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13
Q

In order to play a game of basketball, 10 children at a playground divide themselves into two teams of 5 each. How many different divisions are possible?

A

NOTE that there is no A team or B team, but just a division consisting of 2 groups of 5 each. Therefore, the answer is: [10!/(5!5!)]/2!

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14
Q

What are multinomial coefficients?

A

nC(n₁, n₂,…,n_r)

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15
Q

What are the three axioms of probability?

A

Axiom 1: 0≤ P(E) ≤ 1
Axiom 2: P(S) = 1
Axiom 3: for any sequence of mutually exclusive events E_1, E_2,…,
P(U{i=1 to ∞} E_i) = ∑{i=1 to ∞}P(E_i)

16
Q

Express the probability of the union of two events in terms of the individual probabilities

A

P(EUF) = P(E) + P(F) - P(EF)

17
Q

What is the inclusion-exclusion identity?

A

P(E_1 U E_2 U … U E_n) = ∑{i=1 to n}P(E-i) - ∑{i_1<i_r}P(Ei_1Ei_2…Ei_r)+…+(-1)^(n+1)P(E_1E_2…E_n)

18
Q

What is P(E) if we assume that all outcomes of an experiment are equally likely to occur?

A

P(E) = (# of outcomes in E)/(# of outcomes in S)

19
Q

3 balls are randomly drawn from a bowl containing 6 white and 5 black balls. What is the probability that one of the ball is white and the other two is black?

A

P(E) = [(3C1)(6x5x4)]/(11x10x9) = 4/11
Or
P(E) = (6C1)(5C2)/(11C3) = 4/11

20
Q

An urn contains n balls, one of which is special. If k of these balls are withdrawn one by one, what is the probability that the special ball is chosen?

A

P(E) = [(1C1)((n-1)C(k-1))]/(nCk) = k/n

21
Q

A poker hand consists of 5 cards. If the cards have distinct consecutive values and are not all the same suit, then we have a straight. What is the probability of being dealt a straight?

A

Let’s look at the probability of getting ace, 2,3,4, and 5. Since there are 4 of each, we have 4^5 possibilities. And since we want different suits, we get (4^5 - 4) possibilities. There are 10 ways to make a straight (1-5,2-6,3-7…10-1) so 10(4^5 - 4) are all the possible ways to make a straight out of 52C5 possibilities. So P(E) = 10(4^5-4)/(52C5)