Aims to give students a balance between statistics and econometrics. This book prepares students for an introductory course in econometrics, while instilling an understanding of statistics. It is suitable for first or second year courses in Introductory Statistics or Introductory Statistics and Econometrics on economics degrees.

Prerequisites Part I StatisticsChapter 1 – Discrete probability distributions Chapter 2 – Continuous variables Chapter 3 – Basic statistical inference Chapter 4 – Hypothesis Testing 1 Chapter 5 – Hypothesis Testing 2 Chapter 6 – More about probability and inference Chapter 7 – Chi-squared tests and nonparametric statistics Part II Econometrics Chapter 8 – What is econometrics? Chapter 9 – Two variable correlation and regression Chapter 10 – Introduction to non-linear regression Chapter 11 – What makes a good estimator? Chapter 12 – The classical regression model with two variables Chapter 13 – An introduction to multiple regression Chapter 14 – Models with qualitative effects Chapter 15 – Some problems with the classical model Chapter 16 - Introducing dynamic econometrics Chapter 17 – A possible best-practice methodology Solutions to examples Index