Probability

The word measure derives from this Latin probabilitas, which may also imply "probity s", the measurement of the authority of the person in the legitimate case in Europe, and

In a way, this differs more from the contemporary idea of quantity, which, in comparison, is the measurement of the weight of empirical information, and is arrived at from

This scientific study of probability is The contemporary process of sciences.

Gambling shows that there has been an interest in measuring these thoughts of quantity for millennia, but precise science descriptions originated much later.

There are reasons for this gradual growth of the mathematics of quantity.

Whereas games of opportunity offered the impetus for this exact examination of chance, underlying issues are still obscured by the superstitions of gamblers.

As scientific hypotheses are not “ definitive ”, they exist “ probabilistic ”.

That means scientific theories have the chance probability of being good and the chance/probability of being wrong.The higher the power of the concept, the more probability/ chances that This concept

The lesser the power of this concept, the higher the probability/chances that the concept is wrong.

The probabilistic perspective of scientific theories paves the way for a fantastic ways of reasoning which I would tell “ comparative probability analysis ”.

If you find the power of scientific theories as their probability (of being representative of experience) you will really bring them together.

You can consider the likelihood of all theories supporting the sacred book with those defending the sacred scripture.

The amount of occurrence A and event B happening.

It is the measure of this convergence of two or more outcomes.

The measure of this crossing of A and B may be written P (a ∩ B) .

Case: The chance that the paper is the four and red =P (four and red) = 2/52=1/26.

(there are two colored fours in the porch of 52, these 4 of hearts and these 4 of diamonds) .

Bayes' theorem, named after 18th-century British scientist Thomas Bayes, is the numerical procedure for determining conditional quantity.

This theorem offers a means to revise existing predictions or hypotheses (update probabilities) presented new or more information.

In business, Bayes' theorem will be used to measure the probability of lending money to prospective borrowers.

This idea of conditional measure is one of the most important and one of the most significant in quantity theory.

But conditional probabilities may be rather tricky and require careful explanation.

For instance, there need not exist a causal relation between a and B, and they don't get to happen simultaneously.

This exact concept of measure has its origins in efforts to examine games of opportunity by Gerolamo Cardano at the 16th century, and by Pierre de Fermat and Blaise mathematician

at the seventeenth century (for example the `` problem of points '') .

Christiaan Huygens published the novel on this topic at 1657 and in the nineteenth century, Pierre Laplace completed what is today considered the definitive explanation.