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Titlebook: Counting for Something; Statistical Principl William S. Peters Textbook 1987 Springer-Verlag New York Inc. 1987 Binomial distribution.Boxpl

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樓主: melancholy
51#
發(fā)表于 2025-3-30 11:33:55 | 只看該作者
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.
52#
發(fā)表于 2025-3-30 15:30:16 | 只看該作者
53#
發(fā)表于 2025-3-30 20:07:08 | 只看該作者
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.
54#
發(fā)表于 2025-3-30 22:02:31 | 只看該作者
55#
發(fā)表于 2025-3-31 01:57:34 | 只看該作者
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 of
56#
發(fā)表于 2025-3-31 05:10:12 | 只看該作者
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
57#
發(fā)表于 2025-3-31 10:19:49 | 只看該作者
58#
發(fā)表于 2025-3-31 16:57:07 | 只看該作者
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. [1]
59#
發(fā)表于 2025-3-31 21:10:29 | 只看該作者
60#
發(fā)表于 2025-4-1 01:13:36 | 只看該作者
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.
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