Statistics Quick Reference was designed by a qualified statistics Instructor. Each of the concepts was explained in detail, followed by an example for better understanding.
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The topics include:
1)Basic Terms and Definitions
2)Descriptive Statistics
-> Frequency Distribution
-> Frequency
-> Relative Frequency
-> Cumulative Frequency
-> Cumulative Relative Frequency
-> Graphical Display of data
-> Dot Plots
-> Bar Charts
-> Histograms
-> Stem-and-leaf plots
-> Pie Charts
-> Measures of Central Tendency and Variability
-> The Mean
-> The Median
-> The Mode
-> Variance and Standard Deviation
-> The Range
-> The Coefficient of Variation
3)Probability
-> Basics of Probability
-> Definitions
-> Classical Definition of Probability
-> Conditional Probability
-> Laws of Probability
-> Rules of Probability
-> Discrete Probability Distributions
-> Expected Value of Discrete Random Variable
-> Variance and Standard Deviation of Discrete Random Variable
-> Continuous Probability Distributions
-> The normal Distribution
-> The Standard Normal Distribution
-> t-Distribution
-> How to read Tables
-> The Standard Normal Distribution Table
-> t-Distribution Table
4)Inferential Statistics
-> General Guidelines (Confidence Intervals and Hypothesis Tests)
-> Large samples, Small Samples, Minimum Sample size required
-> Hypothesis Tests (Examples)
-> Confidence Intervals (Examples)
5) Applied Statistics
-> Least Squares Linear Regression(Example computing Regression equation)
-> Linear Correlation (Example computing Correlation Coefficient)
统计设计的快速参考手册是一个合格的统计讲师。的每一个的概念被详细解释的，随后通过一个例子为更好地理解。
请考虑购买捐赠的版本的应用程序来支持开发人员。
这些主题包括：
1）基本术语和定义
2）描述性统计
- >频率分布
- >频率
- >相对频率
- >累积频率
- >累积相对频率
- >图形化显示数据
- >点图
- >条形图
- >直方图
- >茎和叶图
- >饼图
- >办法集中趋势和变异
- >平均数
- >中位数
- >“模式
- >方差和标准差
- >范围
- >变异系数
3）概率
- >概率论的基础知识
- >
- >概率的古典定义
- >条件概率
- >概率法则
- >“规则”的概率
- >离散概率分布。
- >离散型随机变量的期望值
- >离散型随机变量的方差和标准差
- >连续概率分布
- >正态分布
- >标准正态分布
- > t分布
- >如何读表
- >标准正态分布表
- > t分布表
4）推论统计
- >一般准则“（置信区间和假设检验）
- >大样本，小样本，最小样品尺寸要求
- >假设检验（实例）
- >置信区间（范例）
5）应用统计
- >最小二乘法线性回归（实例计算回归方程）
- >线性相关（实例计算相关系数）