lesson #8 introduction to probability
DESCRIPTION
Lesson #8 Introduction to Probability. Flip a single coin:. S = { T , H }. Or, if we let X = # heads,. S = { 0 , 1 }. P = P(Event) = P(A) =. 0 m n. 0 p 1. . REMEMBER!. 0 p 1. S = { TT , TH , HT , HH }. S = { 0 , 1 , 2 }. - PowerPoint PPT PresentationTRANSCRIPT
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Lesson #8
Introduction toProbability
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Flip a single coin:
S = { T , H }
Or, if we let X = # heads,
S = { 0 , 1 }
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P = P(Event) = P(A) = mn
0 m n
0 p 1
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0 p 1
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S = { TT , TH , HT , HH }
S = { 0 , 1 , 2 }
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S = { TT , TH , HT , HH }
S = { 0 , 1 , 2 }
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S = { TT , TH , HT , HH }
S = { 0 , 1 , 2 }
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S = { TT , TH , HT , HH }
S = { 0 , 1 , 2 }
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S = { TT , TH , HT , HH }
S = { 0 , 1 , 2 }
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S = { TT , TH , HT , HH }
S = { 0 , 1 , 2 }
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S = { TT , TH , HT , HH }
S = { 0 , 1 , 2 }
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n! = n(n - 1)(n - 2) … 1
Combinations - order irrelevant
Choose r objects from n, without replacement
nCr or n
r
Permutations - order is important
nPr
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AB BAAC CAAD DABC CBBD DBCD DC
4P2 = 12
4C2 = = 64
2
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In general,
nPr = n(n-1)(n-2) … (n-r+1)(n-r)(n-r-1) … (1)(n-r)(n-r-1) … (1)
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In general,
nPr = n(n-1)(n-2) … (n-r-1)(n-r)(n-r-1) … (1)(n-r)(n-r-1) … (1)
!n!
n - r
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For any combination (subset) of r objects,
there are r! arrangements or permutations.
nnCr = =
r
nPr =
r!n!
(n - r)! r!
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52 52! = =
47! 5!5
(52)(51)(50)(49)(48)(47!)
(5)(4)(3)(2)(1)(47!)
311,875, 200=
120 2,598 = ,960
51 =
4
249,900
P(Ace of hearts) = 2,5249
98,900,960
= .0962