迁移 发表于 2025-3-30 11:33:55
R. A. Fisher,In our Pearson to Gosset to Fisher chapter we left our historical account at Gossett’s 1908 paper on what later became, at R. A. Fisher’s suggestion, the Student .-distribution. We illustrated the distribution in its final form, as clarified by Fisher in 1925.阐明 发表于 2025-3-30 15:30:16
http://reply.papertrans.cn/24/2392/239127/239127_52.pngTERRA 发表于 2025-3-30 20:07:08
Principal Components and Factor Analysis,In Chapter 10 on correlation and regression we used an example of the numbers of runs scored in the 1975 and 1976 seasons by American League baseball clubs. The data were shown in Table 10–1 and the correlation was 0.63. Figure 17-1 shows the data plotted as a scatter diagram in standardized units.Biomarker 发表于 2025-3-30 22:02:31
http://reply.papertrans.cn/24/2392/239127/239127_54.pngImmortal 发表于 2025-3-31 01:57:34
Probability,rated mathematician. The letter concerned some problems de Mere had encountered at the gaming tables. Pascal initiated a correspondence with another mathematician. Pierre de Fermat (1601–1655) about these problems. Neither Pascal nor Fermat ever published any of his work on probability, but most ofPAC 发表于 2025-3-31 05:10:12
Craps and Binomial,six games, and seven games. Our interest there was to show how counting numbers of ways is part and parcel of probability calculations. That example led to a set of probabilities for the possible lengths of the series. When the events of concern in an uncertain situation are numerical and we have ob发牢骚 发表于 2025-3-31 10:19:49
http://reply.papertrans.cn/24/2392/239127/239127_57.pngAGONY 发表于 2025-3-31 16:57:07
Normal Distribution,l distribution. The Frenchman Laplace and the German Gauss used the normal distribution especially in astronomic and geodesic measurements, and the Belgian Quetelet first applied it extensively to social statistics.顶点 发表于 2025-3-31 21:10:29
http://reply.papertrans.cn/24/2392/239127/239127_59.png拱形面包 发表于 2025-4-1 01:13:36
Regression and Correlation,an he expressed as ., where . is the sales for the month. If no sales occur, . = 0 and . = $2000; if sales are $20,000, then . = $2000 + 0.05($20,000) = $3000. What we have here is a mathematical relationship expressing an agreement about compensation.