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ex1 Basic Axoims Stats, Cheat Sheet of Mathematics

ex1 stats n stuff yyyyyyyyyyyyyy

Typology: Cheat Sheet

2020/2021

Uploaded on 10/15/2021

alexhills
alexhills 🇺🇸

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ENGRD 2700
Basic Axioms of Probability
1. The sample space of an experiment, denoted by
is the set of all possible outcomes
of that experiment. Note: the book uses cursive S.
2. An event is any collection of outcomes contained in a sample space
3. Union element is in either A or B or both
AB
4. Intersection element is on both A and B.
AB
a. Intersection is included in the union
b. If the intersection is the null set, A and B are disjoint (also called mutually exclusive)
5. Complement
A’ is the complement of A. It is the set of all elements in
that are not in A.
6. Probability
P1
P A P A P 1
hence
P A 1 P A

P A B P A P B P A B
Extend this to three events
P A B C P A P B P C P A B P A C P B C P A B C
7. Equally likely. See this in flips of a fair coin and rolls of a fair die
NA
PA N
Example. I roll a fair die. What is the probability I get either a one or a two?
pf2

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ENGRD 2700

Basic Axioms of Probability

  1. The sample space of an experiment, denoted by is the set of all possible outcomes

of that experiment. Note: the book uses cursive S.

  1. An event is any collection of outcomes contained in a sample space
  2. Union – element is in either A or B or both

A B

  1. Intersection – element is on both A and B.

A B

a. Intersection is included in the union

b. If the intersection is the null set, A and B are disjoint (also called mutually exclusive)

  1. Complement

A’ is the complement of A. It is the set of all elements in that are not in A.

  1. Probability

P    1

P A P A P 1

hence

P A 1 P A

P A B  P A   P B  P A B

Extend this to three events

P A B C   P A   P B   P C   P A B  P A C   P B C  P A B C

  1. Equally likely. See this in flips of a fair coin and rolls of a fair die

N A 

P A

N

Example. I roll a fair die. What is the probability I get either a one or a two?

A 1, 2

N A 2

N 6

P A

  1. Product rule.

a. For an ordered pair, (O 1 , O 2 ), there are n n 1 2 ways to select an ordered pair.

b. For a k-tuple, there are n n n ...n 1 2 3 kways to select a k-tuple.

  1. An ordered set is called a permutation. The number of permutations of size k that can

be formed from n objects is:

k,n

n! P n k!

  1. An unordered set is called a combination. The number of combinations of size k that

can be formed from n objects is:

k,n

n!^ n C k! n k! k

  1. Grouping. The number of ways to divide a group of n objects into groups of

k k ...k 1 2 r objects, where k 1  k 2  ...k (^) rnis

k,n 1 2 3 r

n! G k !k !k !...k!

Examples:

  1. How many ways are there to arrange the numbers 1, 2, and 3? Taking 1, 2, 3 as the

possible choices, how many ways are there to select three items?

  1. There are 17 horses in a race. How many ways are there to select the trifecta, an

ordering of the three fastest horses (win, place, show)?

  1. How many ways are there to select 3 tennis players from a group of 10? How many

ways are there to select 7 players from a group of 10?