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11 Samacheer Kalvi Solutions for 12.3.12.1

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11 Samacheer Kalvi Solutions for 12.3.12.1

12.3.12.1

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11 Samacheer Kalvi Solutions for 12.3.12.1

11 Samacheer Kalvi Solutions for 12.3.12.1 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.



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Other Solutions

Exercise 12.3

  • 11 Samacheer Kalvi Solutions

    16 Solutions

Exercise 12.3.1

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    Exercise 12.3.2

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      Exercise 12.3.3

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        Exercise 12.3.4

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          Exercise 12.3.5

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            Exercise 12.3.6.1

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              Exercise 12.3.6.2

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                Exercise 12.3.7

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                  Exercise 12.3.8

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                    Exercise 12.3.9

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                      Exercise 12.3.10.1

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                        Exercise 12.3.10.4

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                          Exercise 12.3.11.1

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                            Exercise 12.3.11.2

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                              Exercise 12.3.12.1

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                                Exercise 12.3.12.3

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                                  11 Samacheer Kalvi Solutions for 12.3.12.1

                                  The initial concept of Probability was created in the 16th century by two mathematicians.They created the basics of Probability.In the 18th century mathematician Laplace created the Bayesian concept.There are many events that can't be predicted in the real world.We try to define the probability of the event happening by taking an intelligent guess.

                                  It is good 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.Business decisions can be made using the probability in those organizations.It's always better to make decisions based on the mathematical formula rather than experience or chance.There are a lot of unpredictable outcomes in the events that happen in the world.There could be a lot of different outcomes for an event.

                                  The most likely outcome is determined thanks to the probability.If the result of the process is already known and can be defined then it is an experiment.If one can predict the outcome of the experiment in advance then the experiment is called a Deterministic Experiment.Random Experiment is also called non-deterministic experiment.Predicting which of the possible outcomes of a random experiment is possible.

                                  Sampling space is the collection of all possible outcomes in a random event.A countable number of sample points and an un countable number of sample points are the two types of sample points.A subcategory can't be further divided into the number of sample points.Either a finite number of sample points or an infinite number of sample points are the countable number of sample points.We first need to know the definition of probability in order to know the following things.

                                  S is the code for sample space.The number of elements in sample space is nothing more than a possible outcome.The sample space is head tail.In the sample space there are two elements.When two coins are thrown at the same time it's known as the sample space.

                                  When 3 coins are tossed at the same time the sample space is HHH HHT HTH TTH TTT and THH.8 elements is the number of elements in the sample space.Two coins are the same as one coin that is tossed twice.We can't get confused with these statements.When three coins are thrown it can be called one coin tossed three times.

                                  The sample space is 1 2 3 4 6 if a die is thrown.The amount of space 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.A 6 is the number of elements in the sample space.There is a formula that can be used to find the number of sample spaces in coins.

                                  If we put the n as 2 the sample space size is 4.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.The number of sample spaces in dies is calculated using a formula.If we put n2 then the sample space size is 6.The sample space Size is 36 if we put the n as 2.