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Titlebook: Statistical Tables; for Science, Enginee J. Murdoch,J. A. Barnes Textbook 1986Latest edition J. Murdoch and J. A. Barnes 1986 Accounting.at

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书目名称Statistical Tables
副标题for Science, Enginee
编辑J. Murdoch,J. A. Barnes
视频video
图书封面Titlebook: Statistical Tables; for Science, Enginee J. Murdoch,J. A. Barnes Textbook 1986Latest edition J. Murdoch and J. A. Barnes 1986 Accounting.at
描述Within the third edition, the number of tables has been extended from 35 to 41, and several other features have been added, including worked examples of all the new tables (6) and useful formulae. New tables have been included on the basis that they are less commonly available and yet have been found to be useful in practcal work; they include Tukey‘s Wholly Significant Difference and a new section on Non-Parametric Tables. An American version of Control Chart limits has also been included for the US market. Worked examples of the use of new tables have been included at the end of the book.
出版日期Textbook 1986Latest edition
关键词Accounting; attribute; control; Counting; distribution; Mathematica; mathematics
版次3
doihttps://doi.org/10.1007/978-1-349-09107-2
copyrightJ. Murdoch and J. A. Barnes 1986
The information of publication is updating

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Textbook 1986Latest editionof all the new tables (6) and useful formulae. New tables have been included on the basis that they are less commonly available and yet have been found to be useful in practcal work; they include Tukey‘s Wholly Significant Difference and a new section on Non-Parametric Tables. An American version of
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Basic Distributions and Significance Tables,i.e..When there is no entry for a particular pair of values of r and p, this indicates that the appropriate probability is less than 0. 000 05. Similarly, except for the case r = 0, when the entry is exact, a tabulated value of 1. 0000 represents a probability greater than 0.999 95.
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Non-Parametric Tables,The coefficient r. is calculated as . where n is the number of observations in each of two series and d is the difference between the ranks of the corresponding observations in each series.
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