Understanding Variation The Key To Managing Chaos 2nd Edition
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Understanding Variation
This book provides techniques to become numerically literate and able to understand and digest data.
Measures of Success
A 260-page, full-color book that will help you: STOP REACTING TO NOISE. START RESPONDING TO SIGNALS. Measures of Success shows business leaders how. A PRACTICAL GUIDE FOR HOW TO MANAGE YOUR METRICS Organizations depend on metrics for their business. Question is, are they helping people do the right things? Or, encouraging them to overreact to every uptick, downturn, and change? In other words, reacting to noise. Noise is present in every metric. But, it's our reaction to noise that causes waste and stress. Too often, people don't recognize this. Like feeling stuck on a rollercoaster you no longer enjoy. We do and explain things that don't help us improve. At the cost of doing things that do. No need to be jittery about every change in a metric. Not by a long shot. Measures of Success shows a better way to chart and manage your metrics, in any organization or setting. For your business processes and activities, you need to know what's working, what's not, and what to change. And why. Then, you can determine what to stop doing, what to start doing, what to keep doing. So you can... Jump off the metrics rollercoaster, by responding to signals. Systematically. Sustainably. Learn how to identify meaningful signals in a metric. To respond just right. Or perhaps, not at all. You'll learn how with methods easy to understand, making it obvious what activities to do next. Loads of vivid stories and clear examples from healthcare, software companies, and more. With compelling case studies from the news and personal lives, too. "What gets measured gets managed." We've all heard that. But did you ever learn how to manage a metric? This ain't about gaming the system or fudging the numbers. This is about delivering real value, understood by everyone, and proven with data. Learn a better way to manage your measures. WHO IS MEASURES OF SUCCESS FOR? EXECUTIVES AND LEADERS...in healthcare, manufacturing, and services. Who know what to measure, and are now ready to learn how to manage those measurements. And... WILLING TO... Challenge and change the way things are done today Motivate workers to think and do them better tomorrow Coach people, versus telling them what to do Be responsible for results, not hold others accountable Encourage people to collaborate, not compete Help people sleep better at night because they're improving their work during the day TO BE CLEAR Measures of Success is not for leaders who'd rather give orders. Then, blame others when things go south. That whole hit the target or else thing... won't create real change, nor real value. But that ain't you, right? AFTER READING MEASURES OF SUCCESS ...you'll be able to answer three critical questions for your business. Are we achieving our target? And, how often? Occasionally? Consistently? Are we improving? And, can we predict our future performance? How do we improve? And, when do we react? When do we ignore? When do we improve? ...AND HOW CAN WE PROVE WE'RE IMPROVING? How would you feel if you could answer these questions for your business? Measures of Success shows you how. PROCESS BEHAVIOR CHARTS This book teaches you a proven method for filtering out noise, so we can identify signals. This means we waste less time chasing our tail and more time responding to signals that really matter, heading off small problems before they become big, or showing that we've boosted performance in significant and sustainable ways.
Elementary Statistics Tables
This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. Requiring little mathematical background, Elementary Statistics Tables is thus not just a reference book but a positive and user-friendly teaching and learning aid. The new edition contains a new and comprehensive "teach-yourself" section on a simple but powerful approach, now well-known in parts of industry but less so in academia, to analysing and interpreting process data. This is a particularly valuable enabler to personnel who are not qualified in traditional statistical methods to actively contribute to quality-improvement projects. The second edition also includes a much-improved glossary of symbols and notation.