Stats May Exam

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What is a binomial distribution?
X ~ B(n,p)
n = number of trials
p = probability of success
1 of 10
What are the conditions for a binomial distribution?
Fixed number of trials, n
Two possible outcomes
Fixed probability of success, p
Trials are independent of each other
2 of 10
A ∩ B
Intersection of A and B
3 of 10
When are A and B are independent?
P(A ∩ B) = P(A) x P(B)
4 of 10
A ∪ B
All of A and B, union of A and B
5 of 10
A′
Not A
6 of 10
P(A|B)
Probability of A given B has already occurred
7 of 10
When A and B are independent, P(A|B) =
P(A|B′) = P(A)
P(B|A) = P(B|A′) = P(B)
8 of 10
P(A' ∩ B') =
= 1 - P(A ∪ B)
9 of 10
When can the binomial distribution X ~ B(n,p) be approximatied by normal distribution X ~ N(μ,σ^2)?
When n is large
When p is close to 0.5
μ = np
σ = √(np(1-p))
10 of 10

Other cards in this set

Card 2

Front

What are the conditions for a binomial distribution?

Back

Fixed number of trials, n
Two possible outcomes
Fixed probability of success, p
Trials are independent of each other

Card 3

Front

A ∩ B

Back

Preview of the front of card 3

Card 4

Front

When are A and B are independent?

Back

Preview of the front of card 4

Card 5

Front

A ∪ B

Back

Preview of the front of card 5
View more cards

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