图书介绍

语言统计学PDF|Epub|txt|kindle电子书版本网盘下载

语言统计学
  • 周世界著 著
  • 出版社: 大连:大连海事大学出版社
  • ISBN:7563217657
  • 出版时间:2004
  • 标注页数:208页
  • 文件大小:4MB
  • 文件页数:220页
  • 主题词:统计语言学-研究-英文

PDF下载


点此进入-本书在线PDF格式电子书下载【推荐-云解压-方便快捷】直接下载PDF格式图书。移动端-PC端通用
种子下载[BT下载速度快]温馨提示:(请使用BT下载软件FDM进行下载)软件下载地址页直链下载[便捷但速度慢]  [在线试读本书]   [在线获取解压码]

下载说明

语言统计学PDF格式电子书版下载

下载的文件为RAR压缩包。需要使用解压软件进行解压得到PDF格式图书。

建议使用BT下载工具Free Download Manager进行下载,简称FDM(免费,没有广告,支持多平台)。本站资源全部打包为BT种子。所以需要使用专业的BT下载软件进行下载。如BitComet qBittorrent uTorrent等BT下载工具。迅雷目前由于本站不是热门资源。不推荐使用!后期资源热门了。安装了迅雷也可以迅雷进行下载!

(文件页数 要大于 标注页数,上中下等多册电子书除外)

注意:本站所有压缩包均有解压码: 点击下载压缩包解压工具

图书目录

Chapter 1 Some Fundamental Concepts in Statistics1

1.1 Descriptive and inferential statistics2

1.2 Population and sample3

1.3 Frequency, relative frequency and probability4

1.4 Classifications of variables and levels of measurement5

1.4.1 Nominal level of measurement6

1.4.2 Ordinal level of measurement6

1.4.3 Interval level of measurement7

1.4.4 Ratio level of measurement7

1.4.5 Comparison among the four levels of measurement8

1.5 Computer softwares for statistical analyses8

Chapter 2 Descriptive Statistics: Central Tendency and Variability10

2.1 Measures of central tendency10

2.1.1 The mean11

2.1.2 The median12

2.1.3 The mode12

2.1.4 Comparison of the three measures of central tendency13

2.2 Measures of variability14

2.2.1 The range15

2.2.2 The interquartile range15

2.2.3 The mean deviation16

2.2.4 The variance and the standard deviation16

2.3 Calculating descriptive statistics using SPSS18

Chapter 3 Graphical Presentation of Data and Normal Distribution22

3.1 Frequency table22

3.2 Frequency distribution24

3.2.1 Histogram25

3.2.2 Polygon26

3.3 Skew and Kurtosis27

3.4 The normal distribution28

3.5 Differences in members of the family of normal curves29

3.6 The standard score31

3.7 The area under normal curves32

Chapter 4 Estimation34

4.1 Estimation36

4.1.1 Estimation from large samples: the normal distribution36

4.1.2 Estimation from small samples: the t distribution39

4.2 Calculation of estimation for both large samples and small samples using SPSS43

Chapter 5 Project Design and Hypothesis Testing: Basic Principles47

5.1 Experimental and observational design of investigations47

5.2 Correlated and independent design48

5.3 Hypothesis testing49

5.4 Significance level52

5.5 Directional (one-tailed) and non-directional(two-tailed) tests53

5.6 Types of errors55

5.7 How to choose a test56

5.7.1 Parametric tests56

5.7.2 Non-parametric tests57

Chapter 6 Parametric Tests59

6.1 Hypothesis testing about one population mean60

6.1.1 z test for large samples60

6.1.2 t test for small samples66

6.1.3 Calculation of statistic t-value using SPSS67

6.2 Hypothesis testing about the difference between two population means69

6.2.1 z test for large samples69

6.2.2 t test for small samples71

6.2.3 Calculation of the statistic t-value using SPSS73

6.3 t test for correlated samples78

Chapter 7 Non-parametric Tests84

7.1 The Mann-Whitney U test86

7.2 The Wilcoxon signed-rank test92

7.3 The sign test96

Chapter 8 Chi-square Test100

8.1 Goodness-of-fit test102

8.2 Hypothesis testing of Chi-square test for the contingency table107

8.3 Yates’s correction114

8.4 Hypothesis testing of Chi-square test about more than two categories116

Chapter 9 F Distribution119

9.1 The F distribution119

9.2 Homogeneity of variance120

9.3 Analysis of variance123

9.4 Kruskal-Wallis test130

Chapter 10 Hypothesis Testing About Proportions135

10.1 Estimation of one population poportion135

10.2 Estimation of a difference between two population proportions136

10.3 Hypothesis testing about a single population proportion137

10.4 Hypothesis testing about two independent population proportions139

10.5 Hypothesis testing about two dependent population proportions141

Chapter 11 Regression and Correlation145

11.1 Regression146

11.2 Correlation151

11.2.1 The Pearson product-moment correlation coefficient152

11.2.2 Spearman’s rank correlation coefficient155

11.2.3 The Phi correlation coefficient158

Chapter 12 Factor Analysis162

12.1 Applications of factor analysis162

12.2 Basic ideas of factor analysis as a data reduction method164

12.3 Factor analysis to discover the structure of validity and reliability173

12.4 Factor analysis used for exploration176

Appendix Ⅰ The Normal Distribution179

Appendix Ⅱ The t distribution181

Appendix Ⅲ The Mann-Whitney U test183

Appendix Ⅳ The Wilcoxon Signed-ranks Test185

Appendix Ⅴ The Sign Test186

Appendix Ⅵ The Chi-square Distribution187

Appendix Ⅶ The F Distribution188

Appendix Ⅷ The Person Product-moment Correlation Coefficient190

Appendix Ⅸ The Spearman Rank Correlation Coefficient191

Appendix Ⅹ 常用统计学术语表192

Bibliography206

热门推荐