Father of Statistics

Ronald Aylmer Fisher

Ronald was born on 17th February 1890. He was a British statistician and geneticist. For his sincere work and great dedication to statistics, he is often described as a genius who single- handedly developed the foundations of modern statistical science.

Ronald is the single most prominent figure in statistics for overall statistics. He also worked in the field of genetics. In that, his work used mathematics to combine medallion genetics and natural selection. In the 20th century, his work helped in the revival of Darwinism. He also introduced modern synthesis which is a theory of evolution.
 
Ronald was called as the greatest of Darwin's successor for his contribution to biology. He worked at Rothamsted Experimental status for 14 years from 1919. then after he established his reputation in the following years as a biostatistician.

In population genetics, he is known as the one among the principal founders. For statistics, his works include the maximum livelihood, fiducial inference, the derivation of various sampling distributions, and found the principles of the design of experiments. There are much more but we mentioned a few here.

Fisher also held his strong views on race. He was a prominent supporter of eugenics throughout his life. This led him for his interest in statistics and genetics. In UNESCO's statement, he was notably different regarding the Race Question. He always questioned about the racial differences.

For his overall life, his residence was at both United Kingdom and Australia. He was a British by Nationality. All of his education was at Harrow school. He graduated at the University of Cambridge. He is well known for his Fisher principle and Fisher information. He got many awards. Some of them are as follows :

• Weldon memorial prize in 1930
• Royal Medal in 1938
• Guy medal in 1946
• Copley medal in 1965

Fisher after all his dedication to this beautiful world, he died on 29th July 1962 at the age of 72 years. He died at Adelaide, South Australia.

It deals with the data collection, organization, analysis, interpretation, and presentation. Let us see an example when applying statistics to scientific, industrial, or social problems. This can be convinient to begin with a statistical population or a statistical model for the purpose of research and study.

In data analysis. there were two main statistical methods. They are :

• Descriptive statistics
• Inferential statistics

Descriptive statistics is a method which summarizes data from a sample using indexes. These indexes include the mean or the standard deviation. Inferential statistics is a method which draws a conclusion from the data that is subjected to random variation. It was like observational errors or sampling variation.