This book is intended to introduce the concepts, definitions, and terminology of the subject in an elementary presentation with minimum mathematical background which does not surpass college algebra. The book should prepare the reader to make a good decision based on data.


The material, contained in Applied Statistics, can be covered in a 15-week, 3-hours-per-week semester, with little adjustment as time allows.

Contents
Preface
1. Descriptive Statistics
1.1. Introduction
1.2. Descriptive Statistics
1.3. Frequency Distributions
1.4. Graphical Presentation
1.5. Summation Notation
1.6. Numerical Methods for Summarizing Quantitative Data
1.7. Some Properties of the Numerical Measures of Quantitative Data
1.8. Other Measures for Quantitative Data
1.9. Methods of Counting
1.10. Description of Grouped Data
2. Random Variables and Probability Distributions
2.1. Introduction
2.2. Probability
2.3. Operations and Probability calculation on Events
2.4. Random Variables
2.5. Expected Value and Variance of a Random Variable
2.6. Some Discrete Probability Distributions
2.7. Normal Distribution
3. Estimation
3.1. Sampling
3.2. Point Estimation
3.3. Interval Estimation
3.4. Confidence Interval about One Parameter
3.5. Sample Size Determination
3.6. Confidence Interval about two Parameters
4. Testing of Statistical Hypotheses
4.1. Introduction
4.2. Fundamental Concepts
4.3. Methods in Testing a Statistical Hypothesis
4.4. Hypothesis Testing About One Parameter
4.5. Hypothesis Testing Concerning Two Parameters
5. Simple Linear Regression and Correlation
5.1. Introduction
5.2. Regression Models
5.3. Fitting a straight line (First order Model)
5.4. Correlation
5.5. Hypothesis Testing in Regression Analysis
5.6. Confidence Interval on ? and ?
6. Other Tests and Analysis Of Variance
6.1. Introduction
6.2. Goodness-of-Fit Tests
6.3. Contingency Tables
6.4. The one-Way Analysis of Variance
7. Appendix A Tables
8. References

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