Kelompok 2 :
1. Ahmad Tuflikhun N. (03)
2. Herdianto Mandiri P. (16)
3. Rachmanta Isa A. (22)
4. Wahyu Dwi P. (26)
B. 1. Definition of Trial, Sample Space, and Event
- Sample Space: A set of all the possible result
from a trial.
- Trial:...
B. 2. Probability of an Event
B. 2. a. Definition of Probability
If E is an event with , then probability of event
E which...
B. 2. b. Expectation of an Event’s Frequency
An expected frequency of an events is a result of
the multiplication between ...
C. 1. Probability of The Complementary of an Event
In the following figure, an event of E is defined in a
sample space of ...
C. 2. Probability of Mutually Events
If A and B are mutually exclusive,
If A and B are not mutually exclusive,
AA BB
Two e...
C. 3. Probability of Mutually Independent Events
The first event does not affect to the probability
of the second one.
Exa...
C. 4. Probability of the Conditional Event
The first event will affect the probability of
the second event.
Example :
-Pro...
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Probability Learning

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Probability Learning

  1. 1. Kelompok 2 : 1. Ahmad Tuflikhun N. (03) 2. Herdianto Mandiri P. (16) 3. Rachmanta Isa A. (22) 4. Wahyu Dwi P. (26)
  2. 2. B. 1. Definition of Trial, Sample Space, and Event - Sample Space: A set of all the possible result from a trial. - Trial: A member of the sample space. - Event: Part of the sample space.
  3. 3. B. 2. Probability of an Event B. 2. a. Definition of Probability If E is an event with , then probability of event E which notated by is defined as: note: n(E) = number of elements in an event E n(S) = number of sample points in the sample space of S or number of member of S SE   EP      Sn En EP 
  4. 4. B. 2. b. Expectation of an Event’s Frequency An expected frequency of an events is a result of the multiplication between number of trials and the probability of the possible event will be happened in a trial. Mathematically:    EnxPEfh 
  5. 5. C. 1. Probability of The Complementary of an Event In the following figure, an event of E is defined in a sample space of S, so that the event outside E is called COMPLEMENT of an event E and notated by P. E S SPE       SnPnEn      1 PPEP    EPPP 1
  6. 6. C. 2. Probability of Mutually Events If A and B are mutually exclusive, If A and B are not mutually exclusive, AA BB Two events are mutually exclusive Two events are not mutually exclusive      BPAPBAP         BAPBPAPBAP 
  7. 7. C. 3. Probability of Mutually Independent Events The first event does not affect to the probability of the second one. Example : -Probability in drawing a dice -Probability in drawing coin The probability of the event A and B that written as for A and B mutually independent is formulated by:  BAP       BxPAPBAP 
  8. 8. C. 4. Probability of the Conditional Event The first event will affect the probability of the second event. Example : -Probability in drawing a red ball from the bag which contain 5 yellow baall & 5 red ball. The probability of the event that A and B happened, which written as , in the case that A and B are two conditional evenrs, is formulated as:      ABxPAPBAP   BAP 

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