为解决基于卡方统计量离散化方法在处理未知数据特性时的参数难确定问题，提出了一种基于粗糙集方法的自动离散化方法。
Use the method of x2 statistic to extract texts characteristics after processing the text and then use cross cover algorithm to design a classifier.
方法：对83例新生儿继发性呼吸暂停的临床分析及氨茶碱和洛贝林治疗进行比较，用统计学卡方检验。
Methods:Aminophylline and lobeline hydrochloride were used in treatment of 83 newborn babies with intermittent apnea and statistics by tested in Chi square test for comparison.
采用卡方检验进行统计学分析。
Statistical analysis was performed with the chi-square test.
进行统计学卡方检验分析。
经统计学卡方检验DA组与TF组之间疗效差异无显著性，两组与GIC组之间疗效差异有显著性。
There was no significant difference between DA group and TF group by chi square test. There were significant differences between GIC group and the other two groups.
使用SPSS17.0统计软件进行统计分析，计量资料采用方差分析，计数资料采用卡方检验。
SPSS17.0 statistical software for statistical analysis, Measurement data using analysis of variance, calculators information is chi-square test.
数据处理和统计学分析采用PSS13.0统计软件包进行分析，计量资料采用方差检验，计数资料采用卡方检验。
Data processing and statistical analysis using SPSS13.0 statistical analysis package, the measurement data used variance test, counting card information using the test.
结果学习困难儿童中医辨证的虚证和实证与心理行为相关，经统计学处理，两组儿童卡方值有显著差异（P<0.05）。
Results There were significant correlations between behavior and Chinese medicine discrimination, excess syndrome or weak syndrome on children with study difficulty (P< 0.05).
对单次针刀治疗后1个月与治疗后3个月有效病例数与无效病例数的统计显示：卡方检验P＜0.05，有显著性差异；
Single knife on 1 month after treatment and treatment of patients 3 months after the effective number of cases and the number of invalid statistics: chi-square test P <0.05, significant difference;
这四种特征选择采用的统计方法是：卡方、信息增益、互信息、交叉熵。
The four kinds of feature selection statistics include Chi-square, information gain, and mutual information and cross entropy, and the four corresponding feature sets are obtained.
用频数、百分率描述知识和行为情况，采用卡方检验比较不同年级干预前后的差异，P〈0.05为差异有统计学意义。
Diet, exercise and behavioral interventions were performed among the participants. Chi-square test was used to compare the frequencies. P0.05 was considered as significant.
用频数、百分率描述知识和行为情况，采用卡方检验比较不同年级干预前后的差异，P〈0.05为差异有统计学意义。
Diet, exercise and behavioral interventions were performed among the participants. Chi-square test was used to compare the frequencies. P0.05 was considered as significant.
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