# Tag: Hypothesis Testing

## Leveraging Key Process Input Variables for Success

Published:Complex products and processes can often yield significant variation in output, with resultant poor customer satisfaction, especially when process inputs are not well controlled. By understanding and controlling our key process input variables, we have the perfect approach to keep output variation in check.

Read more »## Making Sense of the Two-Proportions Test

Published:Consider a production process that produced 10,000 widgets in January and experienced a total of 100 rejected widgets after a quality control inspection (i.e., failure rate = 0.01, success rate = 0.99). A Six Sigma project was deployed to fix this problem and by March the improvement plan was in place. In April, […]

Read more »## Exploring the Null Hypothesis: Definition and Purpose

Published:The null hypothesis, written as Ho is a subset of the larger topic of Hypothesis Testing. The null hypothesis is a statement about a specific condition of your data and allows you to draw important conclusions about that data.

Read more »## Mastering the T-Statistic: Tips and Tricks

Published:You may think turnaround time has decreased from your baseline as a result of a process improvement. But has it really? The t statistic is one way to find the answer to that question.

Read more »## Making Sense of the Two-Sample T-Test: Supercharge Your Hypotheses Tests

Published:The two-sample t-test is one of the most commonly used hypothesis tests in Six Sigma work. It is applied to compare the average difference between two groups. You use it to determine if the difference is significant or if it is due instead to random chance. It helps to answer questions like whether […]

Read more »## Null Hypothesis vs. Hypothesis: What’s the Difference?

Published:Null hypothesis vs. hypothesis, which is the right choice? When you get into the different methods of analyzing data, there is no shortage of tools at your disposal. Understanding the difference between a null hypothesis and a hypothesis can make or break your testing and analysis stages. Let’s dive into both of these […]

Read more »## The Role of the Anderson-Darling Test in Assumption Testing

Published:Is your data normal? If not, will that be a problem? It might be, since data normality can be important when using certain statistical tools to make your business decisions.

Read more »## The History of the Hypothesis Testing Flow Chart

Published:Here’s the story about how the hypothesis testing flow chart was developed in Barcelona in 1995, as told by Mike Carnell.

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