Question

tell me the summary of probablity

Answer 1

it is an ability which makes a object or thing an resource

i m not really sure

if it is wrong then sorry rally really sorry

Answer 2

Step-by-step explanation:

What is Probability?

• The branch of mathematics that measures the uncertainty of the occurrence of an event using numbers is called probability. The chance that an event will or will not occur is expressed on a scale ranging from 0-1.
• It can also be represented as a percentage, where 0% denotes an impossible event and 100 % implies a certain event.

Probability of an Event E is represented by P(E).

• Probability of an Event E is represented by P(E).For example, probability of getting a head when a coin is tossed is equal to 1/2. Similarly, probability of getting a tail when a coin is tossed is also equal to 1/2.
• Hence, the total probability will be:
• P(E) = 1/2 + 1/2 = 1
• Know more about probability by clicking here.

Event and outcome

• An Outcome is a result of a random experiment. For example, when we roll a dice getting six is an outcome.
• An Event is a set of outcomes. For example when we roll dice the probability of getting a number less than five is an event.

Note: An Event can have a single outcome.

Experimental Probability

• Experimental probability can be applied to any event associated with an experiment that is repeated a large number of times.
• A trial is when the experiment is performed once. It is also known as empirical probability.

Experimental or empirical probability: P(E) =Number of trials where the event occurred/Total Number of Trial.

Example: In a day a shopkeeper is able to sell 15 balls out of which 6 were red balls. Find the probability of selling red balls on the next day of his sales.

• Given, total number of balls sold = 15
• Number of red balls sold = 6
• Probability of red balls = 6/15 = 2/5

Theoretical Probability

Theoretical Probability, P(E) = Number of Outcomes Favourable to E / Number of all possible outcomes of the experiment

• Here we assume that the outcomes of the experiment are equally likely.

Example: Find the probability of picking up a red ball from a basket that contains 5 red and 7 blue balls.

Solution: Number of possible outcomes = Total number of balls = 5+7 = 12

Number of favorable outcomes = Number of red balls = 5

Hence,

Probability, P(red) = 5/12

Elementary Event

• An event having only one outcome of the experiment is called an elementary event.
• Example: Take the experiment of tossing a coin n number of times. One trial of this experiment has two possible outcomes: Heads(H) or Tails(T). So for an individual toss, it has only one outcome, i.e Heads or Tails.

Sum of Probabilities

• The sum of the probabilities of all the elementary events of an experiment is one.
• Example: take the coin-tossing experiment. P(Heads) + P(Tails )

• = (1/2)+ (1/2) =1

Impossible event

• An event that has no chance of occurring is called an Impossible event, i.e. P(E) = 0.
• E.g: Probability of getting a 7 on a roll of a die is 0. As 7 can never be an outcome of this trial.

Sure event

• An event that has a 100% probability of occurrence is called a sure event. The probability of occurrence of a sure event is one.
• E.g: What is the probability that a number obtained after throwing a die is less than 7?
• So, P(E) = P(Getting a number less than 7) = 6/6= 1

Range of Probability of an event

• Probability can range between 0 and 1, where 0 probability means the event to be an impossible one and probability of 1 indicates a certain event i.e. 0 ≤P (E) ≤ 1.

Geometric Probability

• Geometric probability is the calculation of the likelihood that one will hit a particular area of a figure. It is calculated by dividing the desired area by the total area. In the case of Geometrical probability, there are infinite outcomes.

Complementary Events

• Complementary events are two outcomes of an event that are the only two possible outcomes. This is like flipping a coin and getting heads or tails.
• E + Ē = 1

• , where E and Ē are complementary events. The event Ē, representing ‘not E‘, is called the complement of the event E.

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