BUSS1020 Chapter Notes - Chapter 4: Collectively Exhaustive Events, Mutual Exclusivity, Empirical Probability

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CHAPTER 4: BASIC PROBABILITY
BASIC PROBABILITY CONCEPTS:
Probability: the chance, likelihood or possibility that an uncertain event will occur (0-1)
o Impossible event P = 0 o Certain event P = 1
Fundamental Theorem of Probability:
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Assessing Probability:
o A priori: based on prior knowledge of process à e.g. if all outcomes are equally likely
§
o Empirical probability: estimated from observed data
§
o Subjective probability: based on an individual’s past experience, personal opinion and/or analysis of a
particular situation
Events: each possible outcome of a variable
o Simple event: described by a single characteristic
o Joint event: an event described by 2+ characteristics
o Complement of an event: all events not in A =
7
Sample space: collection of all possible events
Marginal/Simple probability: probability of a simple event occurring à
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Joint probability: probability of a joint event occurring à
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B
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Mutually Exclusive: events that cannot occur simultaneously à e.g. H and T
Collectively Exhaustive: set of events covers the entire sample space
General Addition Rule:
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9
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EF
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B
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G !
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B
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H !
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o Mutually exclusive events:
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9
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EF
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B
:
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G !8B:
CONDITIONAL PROBABILITY:
The probability of one event, given another event has occurred
o
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B
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J8D:
Independence: when the outcome of one event DOES NOT affect the
probability of occurrence of another
o Two events, A and B, are independent ONLY IF:
!
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9
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B
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!89:
Multiplication Rules:
+!89+?@A+B: " !89IB:!8B:
o Independent events:
!89+?@A+B: " !
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9
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!8B:
Marginal Probability:
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o Where B1, B2 …. Bk are k mutually exclusive and collectively exhaustive events
BAYES’ THEOREM:
Used to revise existing probabilities based on new information à extension of conditional probability
o Allows us to reverse the conditioning b/w 2 events
o
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B
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o Long version:
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COUNTING RULES:
RULE 1: if any one of k events can occur on each of n trials,
UVWXYZ+[\+][^^_X`Y+[Vab[WY^+"+cU
o If you roll a dice 3 times, then there are 63 = 216 possible outcomes
RULE 2: 1st trial has k1 events, 2nd has k2 events…nth trial has kn events, then number of possible outcomes is:
o 8cQ:8cS:+d+8cU:
o How many possibilities are there when a number plate has 3 letters followed by 3 numbers (0 to 9)
§ (26)(26)(26)(10)(10)(10) = 17 576 000 possibilities
RULE 3: number of ways n items can be arranged in unique order
o Ue+"+8U:8U+f+Q:+d+8Q: 0! = 1
P(A|B) = conditional probability of
A given B
B = event of interest
A = new event which might impact P(B)
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