**New Revised Edition Now Available!**

**Chapter 1: Basic Concepts**

Section 1: Introduction

Section 2: Elements of Statistics

Section 3: Types of Data

Section 4: Use of Statistical Software

**Chapter 2: Descriptive Statistics**

Section 1: Introduction

Section 2: Categorical Data

Section 3: Numerical Data

Section 4: Numerical Summary

**Chapter 3: Probability**

Section 1: Basic Definitions

Section 2: The Rules of Probability

Section 3: Probability of an Event

Section 4: Union and Intersection of Two Events

Section 5: The Complement of an Event

Section 6: Pictorial Representation

Section 7: Conditional Probability

Section 8: Independent Events

**Chapter 4: Random Variables**

Section 1

Section 2: Probability Distribution

Section 3: Expected Value of a Random Variable

Section 4: Variance and Standard Deviation

Section 5: Binomial Distribution

Section 6: Probability Distribution of Binomial Random Variable

Section 7: Mean and Variance of Binomial Distribution

**Chapter 5: Continuous Random Variable**

Section 1: Introduction

Section 2: Uniform Distribution

Section 3: Normal Distribution

Section 4: General Caseâ€”Nonstandard Normal

**Chapter 6: Sampling Distribution**

Section 1: Introduction

Section 2: Sampling Distribution of the Sample Mean X

**Chapter 7: Statistical Inference**

Section 1: Introduction

Section 2: Point Estimate

Section 3: Interval Estimation

Section 4: Varying Confidence Levels

Section 5: Sample Size Determination

**Chapter 8: Hypotheses Testing**

Section 1: Introduction

Section 2: Elements of a Hypothesis Testing Problem

Section 3: Sources and Types of Error

Section 4: Performing a Test of Hypotheses

Section 5: One-Sided and Two-Sided Tests

Section 6: Observed Significance Level (P-Values)

Section 7: A Note Regarding P-Values

Section 8: Small Sample Test of Hypothesis form

**Chapter 9: Comparing Two Populations**

Section 1: Introduction

Section 2: Inferences for Two Population Means in Large Samples

Section 3: Inferences for Two Population Means in Small Samples

Section 4: The Paired Comparison Test

**Mehdi Razzaghi**

Mehdi Razzaghi is a Professor of Statistics at Bloomsburg University and has served in this capacity for 31 years. He holds a BS in mathematics from the University of Sussex in England, a BS in Computer Science from Bloomsburg University and a PhD in statistics from the University of London, England, which he received in 1977. He held faculty positions at Marburg University in Germany, University of Kentucky, California State University Chico, and Allameh University in Iran before joining Bloomsburg University in 1987. Dr. Razzaghi is the recipient of the Faculty Recognition Award (2003) and the Outstanding Scholarship Award (2012) from Bloomsburg University. During the 2014-2015 academic year, he was a Fulbright fellow at the University Warsaw in Poland. He has collaborated extensively with the Food and Drug Administration (FDA) as a Fellow of the National Center for Toxicological Research (NCTR) and Oak Ridge Institute of Science and Engineering (ORISE). In his role, he assisted in the mathematical development of dose-response models and statistical risk assessment procedures in animal bioassay experiments. He further studied methods for extrapolation of the procedures for human exposure to toxic chemicals in the environment. Dr. Razzaghi has also served as a consultant with the US Environmental Protection Agency (EPA) where he was a member of the peer review panel on the effects of perchlorate environmental contamination. Further, Dr. Razzaghi has consulted with the National Institutes for Health (NIH) and Geisinger Medical Center. He has been the recipient of grants from the NIH, International Life Science Institute and Pennsylvania System of Higher Education.