列联表是由横行和纵栏构成的。
目的反映由列联表所揭示的特殊类型的相关。
Objective: To reveal a particular type of dependence by a contingency table.
本文就含有序变量的三维列联表的几种情况作了讨论。
Certain cases in the use of three-dimensional contingency table with ordered variables are discussed in this paper.
本文讨论的是有缺失数据的双向有序方列联表的统计推断。
We discuss the statistics inference for bidirectionally ordinal square contingency tables with missing data.
本文讨论的是有缺失数据的双向有序方列联表的统计推断。
We often meet missing data during analysis of contingency tables.
采取了频数分析、列联表分析和卡方检验等方法进行比较分析。
Compare and analyse the data by the means of Frequencies, Crosstabs and Chi square test.
对采集的数据进行描述性统计、列联表分析和结构方程模型的分析方法。
We ues descriptive statistics, contingency table analysis and structural equation model analysis on the collected data.
通过探索性统计分析，给出了调查报告中各定性变量和出版社间的二向频率列联表。
By exploratory statistic analysis, the paper gave bivariate frequency contingency tables between every qualitative variable and every publishing company.
交叉列联表和卡方检验的结果显示，男生选择男性比较擅长的专业，女生选择女性比较擅长的专业。
Cross tabs with Chi-square of Independence analyses showed that male students chose male-dominated majors and female students chose female-dominated majors.
但正确的答案却是41%（用列联表可以很容易得到这个结果）（译者注：列联表的使用见本文最后一部分）。
But the correct answer-easily found using a contingency table-is just 41 per cent.
但正确的答案却是41%（用列联表可以很容易得到这个结果）（译者注：列联表的使用见本文最后一部分）。
But the correct answer-easily found using a contingency table-is just 41 per cent.
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