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Titlebook: Introduction to Statistics; R. B. G. Williams Textbook 1984Latest edition Macmillan Publishers Limited 1984 applied mathematics.mathematic

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发表于 2025-3-21 19:17:29 | 显示全部楼层 |阅读模式
书目名称Introduction to Statistics
编辑R. B. G. Williams
视频video
图书封面Titlebook: Introduction to Statistics;  R. B. G. Williams Textbook 1984Latest edition Macmillan Publishers Limited 1984 applied mathematics.mathematic
出版日期Textbook 1984Latest edition
关键词applied mathematics; mathematics; statistics
版次1
doihttps://doi.org/10.1007/978-1-349-06815-9
copyrightMacmillan Publishers Limited 1984
The information of publication is updating

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Types of Numerical Data,pe, land-use, sex, occupation and nationality are just a few of the attributes commonly encountered in geographical studies. Attributes always occur as a number of varieties. For example, a person may be male or female; an area may be industrial, residential or agricultural; a day may be cloudy or s
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Frequency Distributions, five towns and villages containing 10 or more persons were selected at random from amongst 1318 shown on a map of Iowa published by Rand McNally. The straight-line distances separating the towns and villages from their nearest neighbours were measured in the sequence listed.
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The Binomial and Poisson Distributions,ating in a strictly defined manner, chosen to be as simple and as general as possible so that each distribution models a wide variety of real world phenomena. Many other discrete distributions have been constructed, but the two discussed here have proved particularly useful.
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Hypothesis Testing: An Introduction,ple inferences are made concerning the nature of the population. Thus, if the sample mean is 35 units, the inference might be drawn that the population mean is equal to 35 units. If the variance of the sample is 5 units, the variance of the population might be inferred to be also 5 units.
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Paired-Sample Tests Based on t and W,irst under one set of conditions, then under another. For example, the gradient of a beach might be measured at the same randomly selected locations both before and after a storm to see if there was any change. Or a random sample of commuters might be approached and asked how long they take to trave
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