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11 Samacheer Kalvi Solutions for 12.3.4 is given in a real board in a hand written format. This would be useful for students to understand the solution in easy and simple manner. The grasping power increases by reading the solution in a notes format. Hence we have given all the solution in volume 2 in this board format. Please share with your friends if you find this format useful.
Two mathematicians from France formed the concept of Probability in the 16th century.The foundations of Probability were created by both of them.The Bayesian concept was created in the 18th century by mathematician Laplace.The real world can't be predicted.We try to take an intelligent guess by defining the probability of the event.
It is beneficial for students to understand the concepts of Probability as it will be applied in their career in the future when they work for corporate or government agencies.The probability will be used in business decisions.It's always a good idea to make decisions using a mathematical formula rather than experience or chance.Surprises and unpredictable outcomes are what the events in the world around us are filled with.There could be many different outcomes that come from the event.
The most likely outcome depends on the probability.An experiment is called if the result of the process is known and can be defined.If one can predict the outcome of an experiment in advance then it is called a Deterministic experiment.Random experiment is also referred to as Non-Deterministic Experiment.We know all the possible outcomes of a random experiment but we can predict which of them will happen.
Sample space is the collection of all possible outcomes when there are multiple possibilities.A countable number of sample points and an uncountable number of sample points are the types of sample points.The number of points can't be divided into a subcategory.A finite number of sample points or an infinite number of sample points can be defined as the countable number of sample points.First we need to know the definition of probability and then we need to know about the following things.
The sample space is referred to as S.The number of elements in sample space is not important.When a coin is thrown the sample space is head tail.The sample space has a number of elements.When two coins are tossed at the same time the sample space is HH.
When 3 coins are tossed at the same time the sample space is HHH HHT HTH TTH TTT THH THT.The sample space has 8 elements in it.Two coins are the same as one coin that has been thrown twice.We don't need to be confused with these statements.One coin tossed three times is also referred to as one coin tossed three times.
Sampling space is 1 2 3 4 6 when a die is thrown.The number of sample spaces is 6.The sample space is 11 13 14 15 16 21 22 23 24 25 26 31 32 33 34 35 36 41 42 43 44 45 46 51 52 53.In the sample space there are six elements.There is a formula to find the number of sample spaces in coins.
The sample space size is 4 if we add the n to it.If we put the n as 3 then the sample space size is 8 and if we put the n as 4 then the sample space size is 16.6n is the formula to find the number of spaces in dies.If we put n2 the sample space size is 6.There is a sample space size of 36 if we put the n as 2.