Basic Rules of Probability

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Basic Rules of Probability

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Basic Rules of Probability Section 3.3 The Axioms If E is an event and is a subset of S, the sample space, then the following are true: 0 P(E) 1 The ... –

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Title: Basic Rules of Probability


1
Basic Rules of Probability
  • Section 3.3

2
The Axioms
  • If E is an event and is a subset of S, the sample
    space, then the following are true
  • 0 P(E) 1 The probability of an event E is
    between 0 and 1 inclusive.
  • P( ) 0 The probability of an empty set is
    zero. Consequence IF P(A n B) 0 then
  • A n B which implies A and B are
    mutually exclusive.
  • 3. P(S)1 The probability of the sample space
    is 1.

3
More Axioms
  • 4. The rule for unions in general is
    P(A U B) P(A) P(B) P(A n B)
  • 5. If A and B are mutually exclusive then
    P(A U B) P(A) P(B).
  • 6.The rule for complimentary events is
    P(E) 1 P(E).

4
Examples
  • Let E be the event of tossing two dice such that
    the sum of the face is even. Let F be the event
    that the sum of the faces is greater than 9.
  • What is the probability of the sum of the faces
    being even and greater than 9.
  • What we are looking for is P(E n F). The only
    rolls that correspond to that event are (6,4),
    (4,6), (5,5), (6,6).
  • Thus P(E n F)4/361/9.
  • What is the probability of the sum being even or
    greater than 9.
  • Want to compute P(E U F).
  • USE AN AXIOM P(E U F)P(E)P(F)-P(E n
    F)1/21/6-1/95/9

5
61 p.155
  • Of all flashlights in a large shipment, 15 have
    a defective bulb, 10 have a defective battery,
    and 5 have both defects. If you purchase a
    flashlight from the shipment what are the
    probabilities of the following
  • A defective light bulb or a defective battery,
  • A good bulb or a good battery,
  • A good bulb and a good battery.

6
ANSWERS
  • L be the event of having a bad light bulb.
  • B be the vent of having a bad battery.
  • L is the event of having a good light bulb.
  • B is the event of having a good battery.
  • P(L)0.15, P(B)0.10, P(L n B)0.05
  • The probability of having a bad bulb or bad
    battery is P(L U B)P(L)P(B)- P(L n B)
  • 0.150.10-0.050.2020.
  • The probability of having a good bulb or good
    battery is P(L U B).
  • Using deMorgans law L U B(L n B)
  • Thus P(L U B) P((L n B))1-P(L n B)1-0.05
    0.95 95
  • The last part where we have a good bulb and good
    battery is P(LnB)P((L U B))1-P(L U
    B)1-.2.880
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