Independent events (Probability 6 NCERT)

Independent events

Consider the experiment of drawing a card from a deck of 52 playing cards, in which the elementary events are assumed to be equally likely. If E and F denote the events ‘the card drawn is a spade’ and ‘the card drawn is an ace’ respectively, then 

p1Also E and F is the event ‘ the card drawn is the ace of spades’ so that 

p2Hence 

p3

Since 

p4we can say that the occurrence of event F has not affected the probability of occurrence of the event E. 
We also have 

p5Again,

p6 
shows that occurrence of event E has not affected the probability of occurrence of the event F. 

Thus, E and F are two events such that the probability of occurrence of one of them is not affected by occurrence of the other. Such events are called independent events

Definition 2 Two events E and F are said to be independent, if 

p7and 

p8
Thus, in this definition we need to have P (E) ≠ 0 and P(F) ≠ 0 

Now, by the multiplication rule of probability, we have 

p9

                                                                                                                                            (1)

If E and F are independent, then (1) becomes 

p10

                                                                                                                                          (2)

Thus, using (2), the independence of two events is also defined as follows: 

Definition 3 Let E and F be two events associated with the same random experiment, then E and F are said to be independent if 

p11
Remarks 
(i) Two events E and F are said to be dependent if they are not independent, i.e. if 

p12
(ii) Sometimes there is a confusion between independent events and mutually exclusive events. Term ‘independent’ is defined in terms of ‘probability of events’ whereas mutually exclusive is defined in term of events (subset of sample space). Moreover, mutually exclusive events never have an outcome common, but independent events, may have common outcome. Clearly, ‘independent’ and ‘mutually exclusive’ do not have the same meaning. 
In other words, two independent events having nonzero probabilities of occurrence can not be mutually exclusive, and conversely, i.e. two mutually exclusive events having nonzero probabilities of occurrence can not be independent. 
(iii) Two experiments are said to be independent if for every pair of events E and F, where E is associated with the first experiment and F with the second experiment, the probability of the simultaneous occurrence of the events E and F when the two experiments are performed is the product of P(E) and P(F) calculated separately on the basis of two experiments, i.e., P (E ∩ F) = P (E) . P(F) (iv) Three events A, B and C are said to be mutually independent, if 

p13and 

p14 If at least one of the above is not true for three given events, we say that the events are not independent. 

Example A die is thrown. If E is the event ‘the number appearing is a multiple of 3’ and F be the event ‘the number appearing is even’ then find whether E and F are independent ? 
Solution We know that the sample space is S = {1, 2, 3, 4, 5, 6} 
Now 

p15Then 

p16Clearly 

p17Hence E and F are independent events.

 

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