Elementary Statistics Using Excel

Statistics becomes more approachable when its ideas are connected to real data and a familiar tool. Elementary Statistics Using Excel introduces core statistical concepts alongside Microsoft Excel, guiding readers from the basics of data and sampling toward probability, estimation, and hypothesis testing.

Build a foundation in statistical thinking

The opening chapters establish how to think critically about statistics, distinguish types of data, and collect sample data. From there, the text turns to ways of organizing and exploring information with frequency distributions, histograms, scatterplots, and other graphs—including attention to how visual displays can clarify or mislead.

Make sense of data with Excel

Excel is part of the book’s stated focus, with an introductory section on the software and later material that includes using Excel for bootstrapping estimates. The connection between statistical methods and spreadsheet work gives students a context for engaging with data as they study the underlying concepts.

From probability to inference

The listed chapters progress through probability rules and counting, discrete and normal distributions, sampling distributions, and the central limit theorem. Subsequent sections introduce estimating population parameters, choosing sample sizes, testing statistical claims, and comparing two proportions, means, or variances.

A structured introduction for statistics students

With its progression from descriptive methods to inferential statistics, this sixth edition is a fit for readers studying an introductory statistics course in which Excel is relevant. It brings together the language of statistics, methods for interpreting data, and a practical spreadsheet context in one substantial course text.