توضیحاتی در مورد کتاب :
این متن گسترده یک نمای کلی از اکثر روشهای آماری استاندارد، از جمله رگرسیون چندگانه، تحلیل واریانس، طراحی آزمایشی و تکنیکهای نمونهگیری ارائه میکند. با فرض پیشزمینه تنها دو سال جبر دبیرستان، این کتاب تجزیه و تحلیل هوشمند دادهها را آموزش میدهد و اصول جمعآوری خوب دادهها را پوشش میدهد. * بحث کاملی از تجزیه و تحلیل داده ها از جمله تخمین، تشخیص و اقدامات اصلاحی ارائه می دهد * مثال ها حاوی تصاویر گرافیکی برای سهولت در تفسیر هستند * برای استفاده تقریباً با هر نرم افزار آماری در نظر گرفته شده است * نمونه ها تا یک نتیجه منطقی از جمله تفسیر نتایج کار می شوند * A راهنمای کامل مربی در دسترس پذیرندگان است
فهرست مطالب :
Statistical Methods
Copyright Page
Contents
Preface
Chapter 1. Data and Statistics
1.1 Introduction
1.2 Observations and Variables
1.3 Types of Measurements for Variables
1.4 Distributions
1.5 Numerical Descriptive Statistics
1.6 Exploratory Data Analysis
1.7 Bivariate Data
1.8 Populations, Samples, and Statistical Inference — A Preview
1.9 Chapter Summary
1.10 Chapter Exercises
Chapter 2. Probability and Sampling Distributions
2.1 Introduction
2.2 Probability
2.3 Discrete Probability Distributions
2.4 Continuous Probability Distributions
2.5 Sampling Distributions
2.6 Other Sampling Distributions
2.7 Chapter Summary
2.8 Chapter Exercises
Chapter 3. Principles of Inference
3.1 Introduction
3.2 Hypothesis Testing
3.3 Estimation
3.4 Sample Size
3.5 Assumptions
3.6 Chapter Summary
3.7 Chapter Exercises
Chapter 4. Inferences on a Single Population
4.1 Introduction
4.2 Inferences on the Population Mean
4.3 Inferences on a Proportion
4.4 Inferences on the Variance of One Population
4.5 Assumptions
4.6 Chapter Summary
4.7 Chapter Exercises
Chapter 5. Inferences for Two Populations
5.1 Introduction
5.2 Inferences on the Difference between Means Using Independent Samples
5.3 Inferences on Variances
5.4 Inferences on Means for Dependent Samples
5.5 Inferences on Proportions
5.6 Assumptions and Remedial Methods
5.7 Chapter Summary
5.8 Chapter Exercises
Chapter 6. Inferences for Two or More Means
6.1 Introduction
6.2 The Analysis of Variance
6.3 The Linear Model
6.4 Assumptions
6.5 Specific Comparisons
6.6 Random Models
6.7 Unequal Sample Sizes
6.8 Analysis of Means
6.9 Chapter Summary
6.10 Chapter Exercises
Chapter 7. Linear Regression
7.1 Introduction
7.2 The Regression Model
7.3 Estimation of Parameters β0 and β1
7.4 Estimation of σ2 and the Partitioning of Sums of Squares
7.5 Inferences for Regression
7.6 Using the Computer
7.7 Correlation
7.8 Regression Diagnostics
7.9 Chapter Summary
7.10 Chapter Exercises
Chapter 8. Multiple Regression
8.1 The Multiple Regression Model
8.2 Estimation of Coefficients
8.3 Inferential Procedures
8.4 Correlations
8.5 Using the Computer
8.6 Special Models
8.7 Multicollinearity
8.8 Variable Selection
8.9 Detection of Outliers, Row Diagnostics
8.10 Chapter Summary
8.11 Chapter Exercises
Chapter 9. Factorial Experiments
9.1 Introduction
9.2 Concepts and Definitions
9.3 The Two-Factor Factorial Experiment
9.4 Specific Comparisons
9.5 No Replications
9.6 Three or More Factors
9.7 Chapter Summary
9.8 Chapter Exercises
Chapter 10. Design of Experiments
10.1 Introduction
10.2 The Randomized Block Design
10.3 Randomized Blocks with Sampling
10.4 Latin Square Design
10.5 Other Designs
10.6 Chapter Summary
10.7 Chapter Exercises
Chapter 11. Other Linear Models
11.1 Introduction
11.2 The Dummy Variable Model
11.3 Unbalanced Data
11.4 Computer Implementation of the Dummy Variable Model
11.5 Models with Dummy and Interval Variables
11.6 Extensions to Other Models
11.7 Binary Response Variables
11.8 Chapter Summary
11.9 Chapter Exercises
Chapter 12. Categorical Data
12.1 Introduction
12.2 Hypothesis Tests for a Multinomial Population
12.3 Goodness of Fit Using the X2 Test
12.4 Contingency Tables
12.5 Log linear Model
12.6 Chapter Summary
12.7 Chapter Exercises
Chapter 13. Nonparametric Methods
13.1 Introduction
13.2 One Sample
13.3 Two Independent Samples
13.4 More Than Two Samples
13.5 Randomized Block Design
13.6 Rank Correlation
13.7 Chapter Summary
13.8 Chapter Exercises
Chapter 14. Sampling and Sample Surveys
14.1 Introduction
14.2 Some Practical Considerations
14.3 Simple Random Sampling
14.4 Stratified Sampling
14.5 Other Topics
14.6 Chapter Summary
Appendix A.
A.1 The Normal Distribution—Probabilities Exceeding Z
A.1A Selected Probability Values for the Normal Distribution— Values of Z Exceeded with Given Probability
A.2 The t Distribution—Values of t Exceeded with Given Probability
A.3 X2 Distribution—X2 Values Exceeded with Given Probability
A.4 The F Distribution, p= 0.1
A.4A The F Distribution, p = 0.05
A.4B The F Distribution, p = 0.025
A.4C The F Distribution, p = 0.01
A.4D The F Distribution, p = 0.005
A.5 The Fmax Distribution—Percentage Points of Fmax = s2 max/s2 min
A.6 Orthogonal Polynomials (Tables of Coefficients for Polynomial Trends)
A.7 Percentage Points of the Studentized Range
A.8 Percentage Points of the Duncan Multiple Range Test
A.9 Critical Values for the Wilcoxon Signed Rank Test N= 5(1)50
A.10 The Mann–Whitney Two-Sample Test
A.11 Exact Critical Values for Use with the Analysis of Means
Appendix B. A Brief Introduction to Matrices
Matrix Algebra
Solving Linear Equations
References
Solutions to Selected Exercises
Index
توضیحاتی در مورد کتاب به زبان اصلی :
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection. * Provides a complete discussion of analysis of data including estimation, diagnostics, and remedial actions * Examples contain graphical illustration for ease of interpretation * Intended for use with almost any statistical software * Examples are worked to a logical conclusion, including interpretation of results * A complete Instructor's Manual is available to adopters