《語言研究統計方法》介紹了語言研究統計學的基本原理、研究設計和統計方法，內容包括參數估計、假設檢驗、方差分析、線性回歸及相關等，旨在引導學習者領悟語言研究的基本統計思想和方法，學會運用統計數據分析說明語言教學現象。本書統計知識體系完整，統計技能涵蓋全面，語言研究套用性強。
基本介紹
- 中文名：語言研究統計方法
- 作者：許迎軍
- 出版社：國防工業出版社
- ISBN：9787118078428
基本信息,內容簡介,目錄,
基本信息
出版日期：2012 年1月
開本：32開
頁碼：200
版次：1-1
內容簡介
《語言研究統計方法》可作為外語專業本科生、研究生統計學課程的教材，也可供博士和碩士研究生、外語教師、語言研究工作者以及教育科研人員進行定量研究設計和數據分析時閱讀參考。
目錄
《語言研究統計方法》
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
