Introductory Statistics: A Problem-Solving Approach plus SaplingPlus Pack

Steve Kokoska received his undergraduate degree from Boston College, and his M.S and Ph.D. from the University of New Hampshire. His initial research interests included the statistical analysis of cancer chemoprevention experiments. He has published a number of research papers in mathematics journals, including: Biometrics, Anticancer Research, and Computer Methods and Programs in Biomedicine. He has also presented results at national conferences, written several books, and been awarded grants from the National Science Foundation, the Center for Rural Pennsylvania, and the Ben Franklin Program. Steve is a long-time consultant for the College Board and conducted workshops in Brazil, the Dominican Republic, and China. He was the AP Calculus Chief Reader for four years, and has been involved with calculus reform and the use of technology in the classroom. He has been teaching at Bloomsburg University for 25years and recently served as Director of the Honors Program. Steve has been teaching introductory statistics classes throughout his academic career, and there is no doubt that this is his favorite course. This class (and text) provides students with basic, life-long, quantitative skills that they will use in almost any job and teaches them how to think and reason logically. Steve believes very strongly in data-driven decisions and conceptual understanding through problem solving.

Chapter 0 Why Study Statistics.- Chapter 1 An Introduction to Statistics and Statistical Inference.- Chapter 2 Tables and Graphs for Summarizing Data.- Chapter 3 Numerical Summary Measures.- Chapter 4 Probability.- Chapter 5 Random Variables and Discrete Probability Distributions.- Chapter 6 Continuous Probability Distributions.- Chapter 7 Sampling Distributions.- Chapter 8 Confidence Intervals Based on a Single Sample.- Chapter 9 Hypothesis Tests Based on a Single Sample.- Chapter 10 Confidence Intervals and Hypothesis Tests Based on Two Samples or Treatments.- Chapter 11 The Analysis of Variance.- Chapter 12 Correlation and Linear Regression.- Chapter 13 Categorical Data and Frequency Tables.- Chapter 14 Nonparametric Statistics.- Optional Sections.- (available online at macmillanlearning.com/introstats3e):.- Section 6.5 The Normal Approximation to the Binomial Distribution.- Section 12.6 The Polynomial and Qualitative Predictor Models.- Section 12.7 Model Selection Procedures.