The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to:
Complete an introductory course in statistics
Prepare for more advanced statistical courses
Gain the transferable analytical skills needed to interpret research from across the social sciences
Learn the technical skills needed to present data visually
Acquire a basic competence in the use of R.
The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions.
Author Robert Stinerock has also created a wide range of online resources, including: R scripts, complete solutions for all exercises, data files for each chapter, video and screen casts, and interactive multiple-choice quizzes.
Robert Stinerock has more than 30 years of experience teaching statistics and probability to students at both the undergraduate as well as graduate level. He currently teaches statistics at three different universities: the Executive MBA program at Baruch College of the City University of New York; the Quantitative Finance program at the Stevens Institute of Technology in Hoboken, New Jersey; and the Faculdade de Economia, Universidade Nova de Lisboa, in Lisbon, Portugal. He has received several awards for excellence in the classroom: the Stevens Howe School Outstanding Undergraduate Teacher Award (2006); the Stevens Alumni Association Outstanding Teacher Award (2005); and the Fairleigh Dickinson Distinguished Faculty Award for Teaching (1995). He has published numerous research articles in academic journals, most recently in the Journal of Macromarketing, the Journal of Business Research, and Geoforum. This is his first book. He earned his Bachelor's, Master's, and Ph.D. degrees, all from Columbia University. He and his wife, Jyoti (a native of Mumbai, India), live in New York City.
Chapter 1: Introduction and R Instructions Chapter 2: Descriptive Statistics: Tabular and Graphical Methods Chapter 3: Descriptive Statistics: Numerical Methods Chapter 4: Introduction to Probability Chapter 5: Discrete Probability Distributions Chapter 6: Continuous Probability Distributions Chapter 7: Point Estimation and Sampling Distributions Chapter 8: Confidence Interval Estimation Chapter 9: Hypothesis Tests: Introduction, Basic Concepts, and an Example Chapter 10: Hypothesis Tests About u and p: Applications Chapter 11: Comparisons of Means and Proportions Chapter 12: Simple Linear Regression Chapter 13: Multiple Regression