This book offers a modern and accessible introduction to Statistical Inference the science of
inferring key information from data. Aimed at beginning undergraduate students in mathematics
it presents the concepts underpinning frequentist statistical theory. Written in a
conversational and informal style this concise text concentrates on ideas and concepts with
key theorems stated and proved. Detailed worked examples are included and each chapter ends
with a set of exercises with full solutions given at the back of the book. Examples using R
are provided throughout the book with a brief guide to the software included. Topics covered
in the book include: sampling distributions properties of estimators confidence intervals
hypothesis testing ANOVA and fitting a straight line to paired data. Based on the author's
extensive teaching experience the material of the book has been honed by student feedback for
over a decade. Assuming only some familiarity with elementary probability this textbook has
been devised for a one semester first course in statistics.
