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Introduction to advanced mathematics
The main contents of senior one are calculus, indefinite integral and basic knowledge of probability, which is a professional basic course for further study. It is helpful to learn probability theory and mathematical statistics. Introduction to statistics is the basis of learning probability theory and mathematical statistics, as shown in the following learning order.

1. Introduction to the first chapter of statistics

Chapter II Collection and Arrangement of Statistical Data

Chapter III Description of Data Distribution Characteristics

Chapter IV Probability and Probability Distribution

Chapter V Sampling and Sampling Estimation

Chapter VI Hypothesis Test

Chapter VII Analysis of Variance

Chapter VIII Correlation and Regression Analysis

Chapter 9 Time Series Analysis

Chapter X Statistical Indicators

Chapter II XI Statistical Decision-making

Chapter XII Statistical Management of Product Quality

Chapter XIII Overview of National Economic Statistics

Application of Appendix 1 Excel in Statistics, edited by Wei Yuan, Pang Hao and Zeng Wuyi, Higher Education Press, 2002.

2. Statistics-Basic concepts and methods Chapter 65438 +0 Statistics: randomness and regularity.

Chapter II Data Collection

Chapter 3 Data Description: Figures and Tables

Chapter 4 Data Description: Calculation and Exchange Statistics

The fifth chapter probability

Chapter six draws a conclusion: estimation

Chapter 7 draws a conclusion: hypothesis testing.

Chapter 8 Relationship between Variables

Chapter 9 Analysis of Two Classified Variables

Regression analysis and correlation analysis of two numerical variables 10

Chapter 1 1 Analysis of variance of classified variables and quantitative variables

Chapter 12 Rank method of two sequence variables

Chapter 13 multivariate analysis

Chapter 14 Statistics in Daily Life, written by Goodmond R. Iversen and Mary Gergen, translated by Wu Xizhi, Cheng Bo, Liu Linxu, Tong Liping, Zhong Wenxuan and Xiong Huaiyu, jointly published by Higher Education Press and springer Press in 2000.

3. Probability Theory and Mathematical Statistics Chapter 1 Random Events and Probability

Chapter II Random Variables and Their Probability Distribution

Chapter III Numerical Characteristics of Random Variables

Chapter IV Statistics and Their Distribution

Chapter V Parameter Estimation

Chapter VI Hypothesis Test

Chapter 7 Analysis of Variance and Regression, Yan, Cheng, Pu Xiaolong, Higher Education Press, 2004.

So you can learn probability theory by studying introduction to statistics.

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