(i) Independent Events (ii) Dependent events

**Independent and Dependent events**

**(i) Independent Events**

Two or more events are said to be
**independent** when the outcome of one
does not affect and is not affected by, the other. For example, if a coin is
tossed twice, the result of the second throw would in no way be affected by the
result of the first throw.

**(ii) Dependent events **are those in which
the occurrence or non-occurrence of one** **event in any one trial affects the
other events in other trials.

For example the probability of
drawing a queen from a pack of 52 cards is 4/52 or 1/13.

But if the card drawn (queen) is
not replaced in the pack, the probability of drawing again a queen is 3/51.

Tags : Probability , 11th Business Mathematics and Statistics(EMS) : Chapter 8 : Descriptive statistics and probability

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11th Business Mathematics and Statistics(EMS) : Chapter 8 : Descriptive statistics and probability : Independent and Dependent events | Probability

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