Roxy Peck, Chris Olsen, and Jay Devore's new edition uses real data and attention grabbing examples to introduce students to the study of statistics and data analysis. Traditional in structure yet modern in approach, this text guides students through an intuition based learning process that stresses interpretation and communication of statistical information. Simple notation, including the frequent substitution of words for symbols, helps students grasp concepts and cement their comprehension. Hands-on activities and interactive applets allow students to practice statistics firsthand.
"Introduction to Statistics and Data Analysis, 4th edition, International Edition", includes updated coverage of the graphing calculator as well as expanded coverage of probability. CourseSmart goes beyond traditional expectations, providing instant, online access to the textbooks and course materials you need and at a lower cost to your students. To request an electronic sample of this Cengage Learning title, go to our associated website.
Chapter 1 : the Role of Statistics and the Data Analysis Process
Chapter 2 : Collecting Data Sensibly
Chapter 3 : Graphical Methods for Describing Data
Chapter 4 : Numerical Methods for Describing Data
Chapter 5 : Summarizing Bivariate Data
Chapter 6 : Probability
Chapter 7 : Random Variability and Probability Distributions
Chapter 8 : Sampling Variability and Sampling Distributions
Chapter 9 : Estimation Using a Single Sample
Chapter 10 : Hypothesis Testing Using a Single Sample
Chapter 11 : Comparing Two Populations or Treatments
Chapter 12 : The Analysis of Categorical Data and Goodness-of-Fit Tests
Chapter 13 : Simple Linear Regression and Correlation : Inferential Methods
Chapter 14 : Multiple Regression Analysis
Chapter 15 : Analysis of Variance
Chapter 16 : Nonparametric (Distribution-Free) Statistical Methods