Stephen M. Stigler's The History Of Statistics

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Alphonse Allais mentions, “Statistics have shown that mortality increases perceptibly in the military during wartime” (Statistics Quotes, 2). The author, Stephen M. Stigler, written the book title “The History of Statistics: The Measurement of Uncertainty before 1900”, expressing the beginnings of statistics between the years 1700 to 1900. Stigler demonstrated how the roles of statistics play in applied sciences of “astronomy, geodesy, experimental psychology, genetics, and sociology” (Stigler, 2016). He considered the questions, such as “How did scientists learn to combine measurements made under different conditions; and others key question (Stigler, 2016). Statistics, mathematical concepts according to The History to Statistics … are the …show more content…
The steps to create a frequency distribution table are as follows. First, we create the table. Second, we label the column you are counting. Third, we label the tally column. Finally, we total the tally marks and add the final numbers. Frequency distribution helped us to calculate the mean, median, mode, range, and standard deviation. Francis Ysidro Edgeworth, an Oxford Scholar, contributed the law of error of normal distribution and developed an early version of the T distribution (Edgeworth). The first known recorded use occurred in 1895 meanwhile, Norwegian Anders Nicolai Kiaer first introduced the concept of stratified sampling. For example, in computer programming, one will ask a sample of employees how often a week they helped clients to design programs or how often the same business comes for updates. Psychology, Biology, sampling, mean, median, mode, range, and standard deviation are the practical …show more content…
There is no inventor, known contributors, and early uses. For instance, one can find the true and false values for a computer program. P(A|B) = P (A (B) / P (B) is the conditional probability representation. In additional, truth tables and probability are today uses.

Bayes Theorem is the final concept in statistics, which is defined as the description of the probability of events based on related conditions. Thomas Bayes developed P (A|B) = P (B|A) (P (A) / P (B) where Pierre-Simon Laplace further the Bayes theorem formula and Sir Harold Jeffreys defined the Bayes Theorem as the theory probability. There are no early uses and is used for probability, odds, conditional probability, etc. For example, the question, what will be the chance of getting gestational diabetes with your first child, will be the practical example.

According to Hilaire Belloc, “Statistics are the triumph of the quantitative method, and the quantitative method is the victory of sterility and death” (Statistics Quotes,

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