A Refresher on Regression Analysis
You probably know by now that whenever possible you should be making data-driven decisions at work. But do you know how to parse through all of the data available to you? The good news is that you likely don’t have to do the number crunching yourself (hallelujah!) but you do need to correctly understand and interpret the analysis created by your colleagues. One of the … [ Read more ]
Content: Article | Author: Amy Gallo | Source: Harvard Business Review | Subject: Statistics
What to Ask Your “Numbers People”
If you’re a manager working with the analysts in your organization to make more data-driven business decisions, asking good questions should be one of your top priorities. Many managers fear that asking questions will make them appear unintelligent about quantitative matters. However, if you ask the right kinds of questions, you can both appear knowledgeable and advance the likelihood of a good decision outcome.
Content: Article | Author: Thomas H. Davenport | Source: Harvard Business Review | Subjects: Management, Statistics
The Gripping Statistic: How to Make Your Data Matter
We’re awash in data. Here’s how to make yours matter.
Content: Article | Authors: Chip Heath, Dan Heath | Source: Fast Company | Subjects: Personal Development, Statistics
The Black Swan: A Terrific Read for Executives
When this regular Ivey Business Journal contributor recommends a certain book, executives can be assured that they will derive value from the book. Even if it is a black swan.
Content: Article | Author: John McCallum | Source: Ivey Business Journal | Subjects: Management, Risk Management, Statistics
Irrational Expectations
Predictive analytics is emerging as a practical discipline, one that can help business leaders make better decisions. In a world whose complexity in many respects has moved beyond our cognitive abilities, numbers are nothing to fear. In fact, they may be your greatest ally.
Content: Article | Authors: James Guszcza, John Lucker | Source: Deloitte Review | Subject: Statistics
The Statistician Who Ate Humble Pie
Why are business and economic forecasts so often wrong, and why can’t they be improved? In a new feature from s+b — Author’s Choice — leading writers select and introduce passages from notable books. In this piece, Nassim Nicholas Taleb, author of The Black Swan: The Impact of the Highly Improbable, introduces an engaging lesson in business forecasting from Dance with Chance: Making Luck Work … [ Read more ]
Content: Article | Authors: Nassim Nicholas Taleb, Spyros Makridakis | Source: strategy+business | Subject: Statistics
Introduction To Simulation
Simulations study the interaction of random variables in a business process over time – how many customers might walk in the door at any moment, the return on an upcoming advertising campaign, the chance of your information system going down – and use the results to improve business policies. This article provides an overview of simulation and shows how it’s particularly useful for learning about … [ Read more ]
Content: Article | Author: Ricki G. Ingalls | Source: Institute for Operations Research and the Management Sciences (INFORMS) | Subjects: Operations, Statistics
Five Guidelines for Using Statistics
Do statistics tell the entire story? Managers must make effective use of the numbers they generate. Here are five tips to help ensure that you can rely on the numbers.
Content: Article | Sources: Harvard Business School (HBS), Harvard Business School (HBS) Working Knowledge | Subject: Statistics
Statistics Calculators
Keep this link on hand for the ultimate list of statistical calculators. The site features good basic sample size calculators as well as calculators for more advanced research methodologies (see Power Calculators or Correlation and Regression Calculators). Remember that market testing and research are at the heart of good marketing ROI practices. The more insight you can gain into what marketing activities, campaigns, offers and … [ Read more ]
Content: Article | Source: UCLA | Subjects: Marketing / Sales, Statistics
Beat The Odds: Understand Uncertainty
Step one is connecting the seat of the intellect to the seat of the pants.
Editor’s Note: a useful look at the “flaw of averages” and approaches for modeling uncertainty (e.g Monte Carlo simulation, etc.)
Content: Article | Author: Sam L. Savage | Source: Optimize Magazine | Subject: Statistics