Simulation and Statistics with Excel 1st Edition

Grab attention with a practical, hands-on guide that turns Excel into a powerful laboratory for data analysis. Simulation and Statistics with Excel, 1st Edition by Luis Fernando Ibarra is a clear, modern introduction that bridges statistical theory and everyday practice using the familiar Excel environment.

Packed with step-by-step examples and real-world datasets, this book shows how to build Monte Carlo simulations, generate random variables, perform hypothesis tests, estimate parameters, and run regressions — all directly in Excel. Explanations are concise and approachable, making complex topics accessible to students, analysts, and professionals who need immediate, applicable skills without heavy programming.

Readers will appreciate the practical focus: you’ll learn to design experiments, assess uncertainty, visualize results, and make data-driven decisions for business, engineering, finance, and research. Clear screenshots, annotated formulas, and progressive exercises guide users from basic probability concepts to advanced simulation techniques.

Ideal for university courses, self-study, and workplace training across the US, UK, Canada, Australia and beyond, this book supports a global audience seeking hands-on statistical competency with Excel. Whether you’re a statistics student, a business analyst, or a researcher, Ibarra’s pragmatic approach helps you translate data into actionable insight.

Discover a compact, effective resource that demystifies simulation and builds confidence in statistical workflows. Order your copy of Simulation and Statistics with Excel, 1st Edition by Luis Fernando Ibarra today and start turning spreadsheets into powerful analytical tools.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.