标题：语言研究统计方法
基本信息
作者：许迎军  
出版社：国防工业出版社 
ISBN：9787118078428
出版日期：2012 年1月 
开本：32开 
页码：200 
版次：1-1
内容简介
《语言研究统计方法》介绍了语言研究统计学的基本原理、研究设计和统计方法，内容包括参数估计、假设检验、方差分析、线性回归及相关等，旨在引导学习者领悟语言研究的基本统计思想和方法，学会运用统计数据分析说明语言教学现象。本书统计知识体系完整，统计技能涵盖全面，语言研究应用性强。
《语言研究统计方法》可作为外语专业本科生、研究生统计学课程的教材，也可供博士和硕士研究生、外语教师、语言研究工作者以及教育科研人员进行定量研究设计和数据分析时阅读参考。 
目录
《语言研究统计方法》 
chapter 1 introduction 
1.1 overview of statistics 
1.1.1 needs of statistics in linguistic studies 
1.1.2 definition of statistics 
1.1.3 types of statistics 
1.2 basic concepts of statistics 
1.2.1 population and sample 
1.2.2 parameter and statistic 
1.2.3 types of variables 
1.3 types of data 
1.3.1 categorical data, ranked data and quantitative data 
1.3.2 observational data and experimental data 
1.3.3 cross-section data and time-series data 
chapter 2 numerical descriptive measures 
2.1 measures of central tendency 
2.1.1 the mean 
2.1.2 the median 
2.1.3 the mode 
2.1.4 comparison of the mode, median and mean 
2.2 measures of variability 
2.2.1 the range 
2.2.2 the quartile deviation 
2.2.3 variance and the standard deviation 
2.2.4 coefficient of variance 
chapter 3 normal distribution, standard scores and weighted scores 
3.1 normal distribution 
3.1.1 properties of normal distribution 
3.1.2 standard normal distribution 
3.1.3 the table of standard normal distribution and its application 
3.2 standard scores 
3.2.1 zscores 
3.2.2 tscores 
3.2.3 weighted scores 
chapter 4 parametric estimation 
4.1 concepts of parametric estimation 
4.1.1 estimate and estimator 
4.1.2 criteria of assessing estimator 
4.1.3 determining the sample size 
4.2 point estimate and interval estimate 
4.3 application of interval estimation 
4.3.1 interval estimation of a population mean 
4.3.2 interval estimation of a population proportion 
chapter 5 hypothesis test 
5.1 concepts of hypothesis test 
5.1.1 null hypothesis and alternative hypothesis 
5.1.2 type i and type ii errors 
5.1.3 two-tailed versus one-tailed tests 
5.2 hypothesis test 
5.2.1 hypothesis test about a population mean 
5.2.2 hypothesis test about a population proportion 
chapter 6 chi-square tests 
6.1 obi-square distribution 
6.2 a goodness-of-fit test 
6.2.1 the chi-square statistic 
6.2.2 equal proportions for all categories 
6.2.3 test of the fit of a normal distribution 
6.3 a test of independence 
6.3.i contingency tables 
6.3.2 a test of independence 
chapter 7 analysis of variance 
7.1 f distribution 
7.2 one-way analysis of variance 
7.2.1 requirements and procedures of one-way anova 
7.2.2 one-way anova test 
7.3 factorial analysis of variance 
7.3.1 requirements and procedures of factorial anova 
7.3.2 factorial anova test 
chapter 8 linear correlaton and linear regression 
8.1 linear correlation 
8.1.1 linear correlation coefficient 
8.1.2 pearson product moment correlation coefficient 
8.1.3 hypothesis test about significant correlations 
8.2 linear regression analysis 
8.2.1 standard deviation of random errors 
8.2.2 coefficient of determination 
8.2.3 multiple linear regression analysis 
chaffer 9 non-parametric test 
9.1 the wilcoxon signed-rank test 
9.1.1 the wileoxon signed-rank test for small sample 
9.1.2 the wilcoxon signed-rank test for large sample 
9.2 the spearman rho rank correlation coefficient test 
appendix statistical tables 
key to some selected exercises 
references