17thCentury-
Graunt- Studied affairs of the state/ vital statistics of population
Petty- economist, probability/ political/ insurance
Pascal- Probability/ gambling
Bernoulli- probability/ risks with vaccines
18thCentury-
Laplace/ Gauss- normal curve
19thCentury-
Auelelet- statistical analysis to human biology, social mechanics
Galton- genetic regression/ variation
20thCentury-
Pearson- (father of modern statistics) natural selection using correlation, first academic department, journal helped develop chi square analysis
Gossett- developed student T test
Fisher- developed ANOVA and importance of experimental design
20thCentury (later)
Wilcoxon- studied pesticides, non-parametric equivalent of two sample tests
Kuskal, Wallis- non- parametric equivalent of the ANOVA
Spearman- nonparametric equivalent of correlation coeffient
Kendall- nonparametric equivalent of correlation coefficient
Turkey- multiple comparisons procedure
Dunnett- multiple comparisons procedure for control group
Keuls- multiple comparisons procedure
Computer tech- growth of investigation into new techniques
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