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Titlebook: Essential Statistics; D. G. Rees Book 1989Latest edition Springer Science+Business Media Dordrecht 1989 statistics

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發(fā)表于 2025-3-25 05:36:48 | 只看該作者
22#
發(fā)表于 2025-3-25 11:06:10 | 只看該作者
Hypothesis testing, previous chapter we discussed one branch of inference, namely estimation, particularly confidence interval estimation. Another important branch of inference is hypothesis testing which is the subject of much of the remainder of this book. See Fig. 10.1.
23#
發(fā)表于 2025-3-25 14:24:59 | 只看該作者
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發(fā)表于 2025-3-25 19:52:43 | 只看該作者
Association of categorical variables,was numerical (either continuous, discrete, or ranked). We now turn to data for categorical variables (refer to Section 1.2). Also, instead of one variable (univariate) data we will discuss two variable (bivariate) data.
25#
發(fā)表于 2025-3-25 22:34:50 | 只看該作者
Sai On Cheung,Keyao Li,Liuying ZhuIn this chapter we will consider simple ways of representing data in tables and graphs when the data consist of values either of one or two variables for a number of individuals, which we will refer to as one-variable data or two-variable data.
26#
發(fā)表于 2025-3-26 02:18:13 | 只看該作者
27#
發(fā)表于 2025-3-26 05:24:06 | 只看該作者
,Case of Singapore’s Construction Industry,In Chapter 3 we considered an example of a continuous variable, namely the height of a student, and we summarized the heights of 50 students by a histogram, Fig. 3.1, reproduced here as Fig. 7.1.
28#
發(fā)表于 2025-3-26 10:43:42 | 只看該作者
29#
發(fā)表于 2025-3-26 16:11:50 | 只看該作者
30#
發(fā)表于 2025-3-26 20:34:07 | 只看該作者
Aneetha Vilventhan,Subhadarshi MohapatraIn the previous chapter we discussed tests of the association of two categorical variables. If, instead, we are interested in the association of two quantitative (numerical) variables, we may:
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