Book description
More and more organizations around the globe are expecting that professionals will make data-driven decisions. Employees, team leaders, managers, and executives that can think quantitatively should be in high demand. The goal of this book is to increase ability to identify a problem, collect data, organize, and analyze data that will help aid in making more effective decisions. This book will provide you with a solid foundation for thinking quantitatively within your company. To help facilitate this objective, this book follows two fictitious companies that encounter a series of business problems, while demonstrating how managers would use the concepts in the book to solve these problems and determine the next course of action. This book is for beginners and does not require prior statistical training. All computations will be completed using Microsoft Excel.
Table of contents
- Cover
- Title
- Copyright
- Abstract
- Contents
- Chapter 1: Statistics and Statistical Software
- Chapter 2: Data Visualization
- Chapter 3: Numerical Data Summary
- Chapter 4: Probability Theory
- Chapter 5: Estimation
- Chapter 6: Hypothesis Testing
- Chapter 7: Association Between Categorical Variables
- Chapter 8: Linear Regression
- Chapter: 9 Analysis of Variance
- Index
- Adpage
- Backcover
Product information
- Title: Using Statistics for Better Business Decisions
- Author(s):
- Release date: December 2015
- Publisher(s): Business Expert Press
- ISBN: 9781631572739
You might also like
book
Profit Driven Business Analytics
Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on …
book
It's All Analytics!
This book, the first in a series of three, provides a look at the foundations of …
book
Statistics for Economics, Second Edition
Statistics is the branch of mathematics that deals with real life problems. As such, it is …
book
A Course on Statistics for Finance
Taking a data-driven approach, A Course on Statistics for Finance presents statistical methods for financial investment …