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by James E. Burt and Gerald M. Barber

Edition: 2ND 96Copyright: 1996

Publisher: Guilford Press

Published: 1996

International: No

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Statistics courses frequently gloss over the foundations of statistical analysis and concentrate solely on method. As a result, students are able to perform the techniques, but do not know when to utilize them or how to interpret results incorporating statistical methods. Designed to give geography students a solid understanding of key statistical concepts, this in-depth text both presents basic techniques and fully explores their meaning and importance. Structured for optimal classroom use, the book includes helpful student exercises with answer keys. Four broad sections provide comprehensive coverage of descriptive statistics, inferential statistics, statistical relationships between two variables, and modern methods of analysis.

1. Statistics and Geography

**I. Descriptive Statistics**

2. Univariate Descriptive Statistics

3. Descriptive Statistics for Spatial Distributions

4. Concepts of Time Series Analysis

**II. Inferential Statistics**

5. Elementary Probability Theory

6. Random Variables and Probability Distributions

7. Sampling

8. Parametric Statistical Inference: Estimation

9. Parametric Statistical Inference: Hypothesis Testing

10. Parametric Statistical Inference: Two Sample Tests

11. Nonparametric Statistics

**III. Statistical Relationships between Two Variables**

12. Correlation Analysis

13. Introduction to Regression Analysis

14. Inferential Aspects of Regression Analysis

15. Time Series Analysis

16. Exploratory Data Analysis

17. Computer-Intensive Methods

Summary

Statistics courses frequently gloss over the foundations of statistical analysis and concentrate solely on method. As a result, students are able to perform the techniques, but do not know when to utilize them or how to interpret results incorporating statistical methods. Designed to give geography students a solid understanding of key statistical concepts, this in-depth text both presents basic techniques and fully explores their meaning and importance. Structured for optimal classroom use, the book includes helpful student exercises with answer keys. Four broad sections provide comprehensive coverage of descriptive statistics, inferential statistics, statistical relationships between two variables, and modern methods of analysis.

Table of Contents

1. Statistics and Geography

**I. Descriptive Statistics**

2. Univariate Descriptive Statistics

3. Descriptive Statistics for Spatial Distributions

4. Concepts of Time Series Analysis

**II. Inferential Statistics**

5. Elementary Probability Theory

6. Random Variables and Probability Distributions

7. Sampling

8. Parametric Statistical Inference: Estimation

9. Parametric Statistical Inference: Hypothesis Testing

10. Parametric Statistical Inference: Two Sample Tests

11. Nonparametric Statistics

**III. Statistical Relationships between Two Variables**

12. Correlation Analysis

13. Introduction to Regression Analysis

14. Inferential Aspects of Regression Analysis

15. Time Series Analysis

16. Exploratory Data Analysis

17. Computer-Intensive Methods

Publisher Info

Publisher: Guilford Press

Published: 1996

International: No

Published: 1996

International: No

1. Statistics and Geography

**I. Descriptive Statistics**

2. Univariate Descriptive Statistics

3. Descriptive Statistics for Spatial Distributions

4. Concepts of Time Series Analysis

**II. Inferential Statistics**

5. Elementary Probability Theory

6. Random Variables and Probability Distributions

7. Sampling

8. Parametric Statistical Inference: Estimation

9. Parametric Statistical Inference: Hypothesis Testing

10. Parametric Statistical Inference: Two Sample Tests

11. Nonparametric Statistics

**III. Statistical Relationships between Two Variables**

12. Correlation Analysis

13. Introduction to Regression Analysis

14. Inferential Aspects of Regression Analysis

15. Time Series Analysis

16. Exploratory Data Analysis

17. Computer-Intensive Methods