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You make a valid point about the need for hypothesis tests. If it’s possible to clearly verify a root cause with data or observation, then you wouldn’t need to conduct a hypothesis test. We chose a simple example in order to make the topic more digestible to people who might otherwise avoid the topic. The other reason to use a simple example was to show that it’s actually not that hard to conduct Hypothesis Tests. If you already have the data, it’s a few short steps to run the test. Even if the data makes the root cause obvious, running a hypothesis test gives people practice and lets sponsors and leadership know that you’re proceeding with hard proof. When there’s money, time and momentum at stake, it can be worth it.

Elisabeth Swan

Elisabeth is a Managing Partner at For over 25 years, she's helped leading organizations like Amazon, Charles Schwab and Starwood Hotels & Resorts build problem-solving muscles with Lean Six Sigma to achieve their goals.