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Introduction If I were to roll a pair of dice 5
times…
What’s the probability I get
doubles…
1 time? 2 times? 3 times?
4 times? 5 times?
To answer these
questions,
We need this really cool
thing
The
Binomial Probability
Formula!
Formula
x n x
n xP(x) C p q 

Probability
of x
n number of
trials, choose x
Probability of
success raised
to the x power
Probabilty of
failure raised to
the n-x power
Formula Since q = 1-p, the formula can be
rewritten as:
x n x
n xP(x) C p (1 p) 
 
Formula
You need to input 3 numbers into this
formula to find the probability of x
number of x successes out of n trials:
► the number of trials n
► the probability of success, p
► x, the number of successes
x n x
n xP(x) C p (1 p) 
 
Remember The nature of a binomial experiment is
to have a specified number of trials
The probability of success, p, is the
same for every trial
x is the random variable and usually
the focus of the problem
x = {1, 2, 3, …, n}
If n = 5, then x may equal 0, 1, 2, 3,
4, or 5
Insight
In the binomial
probability formula, nCx
determines the number
of ways of getting x
successes in n trials,
regardless of order.
Example n=5, p = 6/36, x=1
P(1) = (5C1)(6/36)1(30/36)5-1
P(1) = (5)(1/6)1(5/6)4
P(1) = (5/6)(5/6)4
P(1) = (5/6)5 = .401878
If I were to roll a pair of dice 5
times…
What’s the probability I get
doubles… 1 time?
x n x
n xP(x) C p (1 p) 
 
CalculationTips n=5, p = 6/36, x=1
P(1) = (5C1)(6/36)1(30/36)5-1
P(1) = (5)(1/6)1(5/6)4
P(1) = (5/6)(5/6)4
P(1) = (5/6)5 = .401878
x n x
n xP(x) C p (1 p) 
 
Think of the
formula as
multiplying 3
numbers
Group (n-x)
Resolve combination
formula and exponents
before multiplying!
Since there are 36
possible outcomes
when rolling two, 6-
sided die, and 6 of
those outcomes are
doubles, then the
probability of success
is 6/36
Example n=5, p = 6/36, x=3
P(1) = (5C3)(6/36)3(30/36)5-3
P(1) = (10)(1/6)3(5/6)2
P(1) = (10)(1/216)(25/36)
P(1) = (10/216)(25/36)
= .03125
If I were to roll a pair of dice 5
times…
What’s the probability I get
doubles… 3 times?
x n x
n xP(x) C p (1 p) 
 
Thinkabout
If we were to find P(0),
P(1), P(2), P(3), P(4), and
P(5), what would the sum
of those probabilities be?

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Binomial probability formula

  • 1. Introduction If I were to roll a pair of dice 5 times… What’s the probability I get doubles… 1 time? 2 times? 3 times? 4 times? 5 times? To answer these questions, We need this really cool thing The Binomial Probability Formula!
  • 2. Formula x n x n xP(x) C p q   Probability of x n number of trials, choose x Probability of success raised to the x power Probabilty of failure raised to the n-x power
  • 3. Formula Since q = 1-p, the formula can be rewritten as: x n x n xP(x) C p (1 p)   
  • 4. Formula You need to input 3 numbers into this formula to find the probability of x number of x successes out of n trials: ► the number of trials n ► the probability of success, p ► x, the number of successes x n x n xP(x) C p (1 p)   
  • 5. Remember The nature of a binomial experiment is to have a specified number of trials The probability of success, p, is the same for every trial x is the random variable and usually the focus of the problem x = {1, 2, 3, …, n} If n = 5, then x may equal 0, 1, 2, 3, 4, or 5
  • 6. Insight In the binomial probability formula, nCx determines the number of ways of getting x successes in n trials, regardless of order.
  • 7. Example n=5, p = 6/36, x=1 P(1) = (5C1)(6/36)1(30/36)5-1 P(1) = (5)(1/6)1(5/6)4 P(1) = (5/6)(5/6)4 P(1) = (5/6)5 = .401878 If I were to roll a pair of dice 5 times… What’s the probability I get doubles… 1 time? x n x n xP(x) C p (1 p)   
  • 8. CalculationTips n=5, p = 6/36, x=1 P(1) = (5C1)(6/36)1(30/36)5-1 P(1) = (5)(1/6)1(5/6)4 P(1) = (5/6)(5/6)4 P(1) = (5/6)5 = .401878 x n x n xP(x) C p (1 p)    Think of the formula as multiplying 3 numbers Group (n-x) Resolve combination formula and exponents before multiplying! Since there are 36 possible outcomes when rolling two, 6- sided die, and 6 of those outcomes are doubles, then the probability of success is 6/36
  • 9. Example n=5, p = 6/36, x=3 P(1) = (5C3)(6/36)3(30/36)5-3 P(1) = (10)(1/6)3(5/6)2 P(1) = (10)(1/216)(25/36) P(1) = (10/216)(25/36) = .03125 If I were to roll a pair of dice 5 times… What’s the probability I get doubles… 3 times? x n x n xP(x) C p (1 p)   
  • 10. Thinkabout If we were to find P(0), P(1), P(2), P(3), P(4), and P(5), what would the sum of those probabilities be?