PROBABILISTIC HYPOTHESIS

Probabilistic Hypothesis: Definition, History and Characteristics

Probabilistic hypothesis is a type of research hypothesis that expresses a probability or likelihood that something will happen or is true. This type of hypothesis is often used in fields such as mathematics, statistics, economics, and psychology. It can also be used in other scientific fields such as medicine, engineering, and biology. The goal of a probabilistic hypothesis is to determine how likely an event or phenomenon is to occur.

Definition

Probabilistic hypothesis is a type of research hypothesis that expresses a probability or likelihood that something is true or will happen. The hypothesis is expressed as a statement or equation that can be tested and verified. It is generally assumed to be true until proven otherwise.

History

The concept of probabilistic hypothesis has its origins in the works of 17th century philosopher, mathematician, and scientist Blaise Pascal. He developed the mathematical basis for probability theory and used it to solve a variety of problems. Probabilistic hypothesis was further developed in the late 19th and early 20th century by mathematicians and statisticians such as Karl Pearson and Ronald Fisher.

Characteristics

The most important characteristic of a probabilistic hypothesis is that it expresses a probability or likelihood that something is true or will happen. This can be expressed as a numerical value, such as a percentage, or as a statement, such as “it is likely that…”. A probabilistic hypothesis should be testable and verifiable. It should also be stated in such a way that it can be tested and measured.

Conclusion

Probabilistic hypothesis is a type of research hypothesis that expresses a probability or likelihood that something is true or will happen. This type of hypothesis has its origins in the works of 17th century philosopher, mathematician, and scientist Blaise Pascal. It has since been further developed by mathematicians and statisticians such as Karl Pearson and Ronald Fisher. The most important characteristic of a probabilistic hypothesis is its ability to express a probability or likelihood that something is true or will happen.

References

Fisher, R.A. (1925). Statistical methods for research workers. Edinburgh: Oliver & Boyd.

Pascal, B. (1654). Traité du triangle arithmétique. Paris: Chez Jacques de Pillebouc.

Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. Philosophical Magazine Series 5, 50, 157-175. doi:10.1080/14786440009463897

Scroll to Top