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Mindmap

Probability

Bitasta Pramanik Englisch

Inhalt der Mindmap

Probability

  1. Value

    • Sum of probabilities of all elementary event is 1. For events A,B,C ; P(A)+ P(B)+ P(C) = 1
  2. Definitions

    • When an event is having probability to occur as 1 then it is called a Sure or Certain Event.
    • For event E,complement event, P(E)=1-P(E)
    • Event having only one outcome of the experiment is called Elementary Event.
  3. Experimental Probability

    • P(E) =Number of outcomes favourable to E divided by Number of all possible outcomes of the experiment
  4. Theoretical Probability

    • Number of trials in P(E) = which the event happend divided by Total number of events
  5. Examples

    • (i) Two dice are rolled, then the probability of getting 12 as a sum No. of possible outcomes=36 ; no. of favourable outcomes=1 then,P(E)=1/36
    • (ii) A coin is tossed then the probability of appearing head Total outcomes=2 ; Favourable outcomes =1 then, required probability P(E) = 1/2

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Beschreibung
Mindmap am Probability, erstellt von Bitasta Pramanik am 15/11/2021.
Erstellt von
Bitasta Pramanik
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