Events in Probability

The outcomes of a random experiment are called events connected with the experiment.

For example; ‘head’ and ‘tail’ are the outcomes of the random experiment of throwing a coin and hence are events connected with it.

Now we can distinguish between two types of events.

(i) simple event

(ii) compound event

Simple or Elementary Event: If there be only one element of the sample space in the set representing an event, then this event is called a simple or elementary event.

For example; if we throw a die, then the sample space, S = {1, 2, 3, 4, 5, 6}. Now the event of 2 appearing on the die is simple and is given by E = {2}.

Compound Event: If there are more than one element of the sample space in the set representing an event, then this event is called a compound event.

For example; if we throw a die, having S = {1, 2, 3, 4, 5, 6}, the event of a odd number being shown is given by E = {1, 3, 5}.

Odd in favor of an event A is defined as; number of favorable events/number of unfavorable events.

Similarly, odds against an event A = number of unfavorable events/number of favorable events.

Certain Events: An event which is sure to occur at every performance of an experiment is called a certain event connected with the experiment.

For example, “Head or Tail’ is a certain event connected with tossing a coin.

Face-1 or face-2, face-3, ……, face-6is a certain event connected with throwing a die.

Impossible Even: An event which cannot occur at any performance of the experiment is called an possible event.

Following are such examples ----

(i) ‘Seven’ in case of throwing a die.

(ii) ‘Sum-13’ in case of throwing a pair of dice.

Equivalent Events / Identical Events: Two events are said to be equivalent or identical if one of them implies and implied by other. That is, the occurrence of one event implies the occurrence of the other and vice versa.

For example, “even face” and “face-2” or “face-4” or “face-6” are two identical events.

Equally Likely Events: When there is no reason to expect the happening of one event in preference to the other, then the events are known equally likely events.

For example; when an unbiased coin is tossed the chances of getting a head or a tail are the same.



Exhaustive Events: All the possible outcomes of the experiments are known as exhaustive events.

For example; in throwing a die there are 6 exhaustive events in a trial.

Favorable Events: The outcomes which make necessary the happening of an event in a trial are called favorable events.

For example; if two dice are thrown, the number of favorable events of getting a sum 5 is four, i.e., (1, 4), (2, 3), (3, 2) and (4, 1).

Mutually Exclusive Events: If there be no element common between two or more events, i.e., between two or more subsets of the sample space, then these events are called mutually exclusive events.

If E1 and E2 are two mutually exclusive events, then E1 ∩ E2 = ∅

For example, in connection with throw a die “even face” and “odd face” are mutually exclusive.

But” odd-face” and “multiple of 3” are not mutually exclusive, because when “face-3” occurs both the events “odd face” and “multiply of 3” are said to be occurred simultaneously.

We see that two simple-events are always mutually exclusive while two compound events may or may not mutually exclusive.

Complementary Event: An event which consists in the negation of another event is called complementary event of the er event. In case of throwing a die, ‘even face’ and ‘odd face’ are complementary to each other. “Multiple of 3” ant “Not multiple of 3” are complementary events of each other.

Not happening of the event E is called the complementary event of the event E. It is denoted by E’ or E or Ec.

Note that complementary event of certain event is an impossible event and vice versa.

Event points, Even Space: Let an experiment be donated by E. The simple events connected with E will be called even points: and the set S of all possible even points is called event space of E.

Any subset A of S is obviously an event. If A contains single point then it is a simple event, if A contains more than one point of S then A is compound event.

Then entire space S is certain event and empty set ∅ is impossible event.

Probability

Probability

Random Experiments

Experimental Probability

Empirical Probability

Coin Toss Probability

Probability of Tossing Two Coins

Probability of Tossing Three Coins

Complimentary Events

Mutually Exclusive Events

Mutually Non-Exclusive Events

Conditional Probability

Theoretical Probability

Odds and Probability

Playing Cards Probability

Probability and Playing Cards

Solved Probability Problems

Probability for Rolling Three Dice

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