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.
A marketing research firm was engaged by an automobile manufacturer to conduct a pilot study to examine the feasibility of using logistic regression for ascertaining the likelihood
Lorenz Curve It is a graphic method of measuring dispersion. This curve was devised by Dr. Max o Lorenz a famous statistician. He used this technique for wealth it i
I need to know if the exam will be guarantee to pull my grade up to a B or an A. I have a D right now so i need to get someone that is willing to put effort on completing it???
Formation of Continuous Frequency Distribution: Continuous frequency distribution is most popular in practice. With reference to the formation of this type of frequency distr
prepare a critical analysis of a quantitative study focusing on protection of human participants data collection data management and analysis problem statement and interpretation o
PCA is a linear transformation that transforms the data to a new coordinate system such that the greatest variance by any projection of the data comes to lie on the first coordinat
Test the following claim. Identify the null hypothesis, alternative hypothesis, test statistic, critical value(s), conclusion about the null hypothesis, and final conclusion that
f(x,y)=c(6-x-y) ,o find P(X+Y
Examining the Population Variance Business decision making does not limit itself to setting up the hypothesis to test for the equality of more than two means or proportions sim
Geometric Mean The geometric mean of numbers is defined as the th root of the product of numbers .It is obtained by multiplying all the values of a variable and then extracti
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