Elementary Statistics is written for students with minimal preparation in mathematics while providing instructors a text that is both informative and yet firmly rooted in real-world application, addressing important contemporary issues in sociology, psychology, marketing, finance, medicine, health, factory production, education, biology, anthropology, and so on.
Elementary Statistics by Henry Gibson and Bernard Dillard:
- infuses energetic, up–to–date images within the text to make statistical ideas a bit more bearable.
- presents a more in–depth discussion on regression, chi square, and ANOVA.
- includes a new chapter discussing time series.
- features access to datasets through a separate and distinct website.
Chapter One: Introduction
Chapter Two: Organizing and Analyzing Data
Chapter Three: Probability
Chapter Four: Normal Distributions
Chapter Five: Central Limit Theorem
Chapter Six: Introduction to Hypothesis Testing
Chapter Seven: Hypothesis Testing
Chapter Eight: Confidence Intervals
Chapter Nine: Regression and Correlation
Chapter Ten: Chi-Square
Chapter Eleven: Analysis of Variance
Chapter Twelve: Time Series
Chapter Thirteen: Additional Topics