Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Origin and Development of probability Theory:
The credit for origin and development of probability goes to the European gamblers of 17th century. They used to gamble on games of chance such as throwing a dice, tossing up a coin , horse race, drawing cards from a pack of cards etc. For getting success in above games of chances. They started getting the help of mathematicians. By the deep study and calculations of these mathematicians the theory of probability originated.
All Italian Mathematician Jerome cardoon(1501-1576) was the first person to write a book on probability, Games of chances which was published after his death in 1663. In this book he mentioned all risks involved and rules how to lessen those risks Galileo (1564-1642) an Italian Mathematician, attempted quantitative measures of probability for solving the problems related to the theory of dice in gambling. In mid 17th century two French mathematicians Blaise Pascal (1623-1662) mce_markernbsp; pierre de fermat gave the systematic and scientific foundation of mathematical theory of probability. Swisss mathematician James Bernoulli (1654-1705) was another brave and strong man who made extensive study of the subject for 2 decades and introduced Bernoulli theorem and its theory in his book air conjectandi published in 1713 after his death in major contribution to the modern theory of probability. In 1718 Abrahm de Moivre (1667-1754) published his book The Doctrine of chances and contributed a lot to this subject.
In 18th &19th century many mathematicians tried to develop scientific method for the development of different theorems of probability. Thomas Bayes (1702-1761) introduced the concept of inverse probability which is also known as bayes . Theorem Pierre Simon de Laplace (1749-1827) after an extensive research published his book. Theory of Analytical probability which constitutes the classical theory of probability; Ronald fisher and von mises introduced empirical approach probability through an idea of sample space, In 1926 mathematician frank Ramsey published his work the foundation of mathematics and other logical essays in which he introduced the theory of subjective approach to probability. Which was developed by Richard good Bernard, Coopman and Lleonard sweage. This concept is especially used in statistical decision theory.
The modern theory of probability was developed by a number of Russian mathematicians like Chebychev (1821-1894) A markov (1856-1922) and A .N Kolmogarov. Kolmogarov axionised the theory of probability and he published his work foundations of probability in 1933 in which he introduced probability as set function and regarded as a classic.
Evaluate Gross Reproduction Rate: From the data given below compute : i) General Fertility Rate ii) Specific Fertility Rate iii) Total Fertility Rate iv)
A study was designed to investigate the effects of two variables - (1) a student's level of mathematical anxiety and (2) teaching method - on a student's achievement in a mathemati
use of quantitative techniques in public sector
Suppose that in the actual survey of 50 prospective customers, 6 subscribe to the 3 for all offer, what does this tell you about the previous estimate of the proportion of customer
1 A penny is tossed 5 times. a. Find the chance that the 5th toss is a head b. Find the chance that the 5th toss is a head, given the first 4 are tails.
Your company operates a machine shop, and, having heard you had experience in statistics and design of experiments, consulted you for your opinion on an experiment they want to run
Linear Regression Generally, in two mutually related statistical series, the regression analysis based on graphic method. Under graphic method the values of X and Y variable
Grouped data For grouped data, the formula applied is σ = Where f = frequency of the variable, μ= population mea
what are the importance, uses,optimums and applications of the following in agriculture field experiments; 1.standard deviation 2.standard error 3. coefficient of variation
Bernoulli's Theorem If a trial of an experiment can result in success with probability p and failure with probability q (i.e.1-p) the probability of exactly r success in n tri
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd