Statistics 7th Edition After-school Exercise Answers Jia Junping
table of Contents:
Chapter 1 Introduction to Statistics Seventh Edition Jia Junping's After-Class Answer
Statistics Seventh Edition Jia Junping's Answer 1.1 Statistics and Its Application Fields
1.2 Types of Statistical Data Statistics Seventh Edition After-Class Answers Jia Junping
1.3 Basics in Statistics Conceptual
Thinking and Practice
Chapter 2 Data Collection
2.1 Data Sources
2.2 Investigation Methods
2.3 Experimental Methods
2.4 Data Error
Thinking and Practice
Chapter 3 Data Graphic Display
3.1 Data Preprocessing
3.2 Quality Data Sorting and Display
3.3 Numerical Data Sorting and Displaying
3.4 Reasonable Use of Chart
Thinking and Practice
Chapter 4 General Measurement of Data
4.1 Measurement of Centralized Trend
4.2 Measurement of Dispersion
Statistics 7th Edition After-school Exercise Answers Jia Junping
4.3 Measurement
and practice of skewness and kurtosis
Chapter 5 Probability and probability distribution
5.1 Random events and their probabilities
5.2 Discrete random variables and their distribution
5.3 Probability distribution of continuous random variables
and practice
Chapter 6 Statistics and their Sampling distribution
6.1 Statistics
6.2 Several important distributions derived from normal distribution
6.3 Distribution of sample mean and central limit theorem
Thinking and practice
Chapter 7 Parameter estimation
7.1 Basic Principles of Parameter Estimation
7.2 Interval Estimation of One Overall Parameter
7.3 Interval Estimation of Two Overall Parameters
7.4 Determination and
Thinking of Sample Size
Chapter 8 Hypothesis Testing Statistics Seventh Edition After-Class Exercise Answers Jia Junping
8.1 Basics of Hypothesis Testing Problem
8.2 Test of one overall parameter
8.3 Test of two overall parameters
8.4 Further explanation of the test question
Thinking and practice
Chapter 9 Classification data analysis
9.1 Classification data and χ2 statistics
9.2 Goodness-of-fit test
9.3 In-line analysis: independence test
9.4 Relevant Measurements in
Contingency Tables 9.5 Problems to be Noted in Contingency Analysis
Thinking and Practice
Chapter 10 Analysis of
Variance 10.1 Introduction to ANOVA
10.2 Single-Factor Analysis of Variance
10.3 Two-Factor Analysis of Variance Analysis
Thinking and Practice
Chapter 11 Unary Linear Regression
11.1 Measurement of relationship between variables
11.2 Univariate linear regression
11.3 Prediction using regression equation
11.4 Residual analysis
thinking and practice
Chapter 12 Multiple linear regression
12.1 Multiple linear regression model
12.2 Goodness of fit of regression equation
12.3 Significance test
12.4 Multiple collinearity
12.5 Using regression equations to make predictions
12.6 Variable selection and stepwise regression
Thinking and Practice
Chapter 13 Time Series Analysis and Prediction
13.1 Time Series and Its Decomposition
13.2 Descriptive Analysis of
Time Series 13.3 Time Series Prediction Procedure
13.4 Stationary Sequence Prediction
13.5 Trending Sequence Prediction
13.6 Composite Sequence Decomposition Forecasting
Thinking and Practice
Chapter 14 Index
14.1 Basic Questions Statistics Seventh Edition After-Class Answers Jia Junping
14.2 Jia Junping Total Index Compilation Method
14.3 Index System
14.4 Several Typical Indexes
14.5 Comprehensive Evaluation Index
Thinking and Practice Statistics Seventh Edition After-Class Answers
Appendix A glossary