In: Statistics and Probability
1.
EVENT:
The set of outcomes from an experiment is known as an Event.
e.g. you conduct an experiment by tossing a coin. The outcome of this experiment is the coin landing ‘heads’ or ‘tails’. These can be said to be the events connected with the experiment.
SIMPLE EVENT:
If the event has only one sample point of a sample space, it is called a simple event . It is an event that consists of exactly one outcome.
e.g. Let us understand you throw a die, the possibility of 2 appearing on the die is a simple event and is given by E = {2}
2.
Classical probability offer the strongest evidence for the likelihood of an event.
3.
Independent Event:
An event that does not affect the occurrence of another subsequent event in a random experiment is an independent event.
Dependent Event:
When the occurrence of one event affects the occurrence of another subsequent event, the two events are dependent events.
e.g.:
(i)
Tossing a coin .Sample Space S = {H, T} .
Here both H and T are independent events.
(ii)
Suppose we have 5 blue marbles and 5 red marbles in a bag. We pull out one marble, which may be blue or red. Now there are 9 marbles left in the bag. What is the probability that the second marble will be red?
It depends. If the first marble was red, then the bag is left with 4 red marbles out of 9 so the probability of drawing a red marble on the second draw is 4/9 . But if the first marble we pull out of the draw is blue, then there are still 5 red marbles in the bag and the probability of pulling a red marble out of the bag is 5/9 .
The second draw is a dependent event. It depends upon what happened in the first draw.