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Attribute Data in Statistics

Attribute data represents qualitative characteristics that cannot be measured numerically in a meaningful way. Unlike numerical measurements such as height, weight, or temperature, attributes describe properties, categories, or qualities of observations. This...

6Ms

The 6Ms are a problem-solving tool used in the manufacturing and service industries to systematically explore and identify the root causes of problems. These six categories—Manpower, Methods, Machines, Materials, Mother Nature, and Measurement—help break down complex...

5 Whys

The 5 Whys Technique: Origins The 5 Whys steps method was developed by Sakichi Toyoda in Japan, who is also an inventor and founder of Toyota Industries. It was popularized in the 1970s and Toyota still uses it today to solve problems. Toyota believes in a...

1-Sample Sign Test: What It Is and When to Use It

Most hypothesis tests in Six Sigma are built around an assumption: your data follows a normal distribution. The 1-sample t-test, for example, compares a sample mean to a target value — but it requires that the underlying data is roughly normally distributed to produce...

2-Sample t-Test

A 2-sample t-test is one of the most common hypothesis tests used in Six Sigma. This test is used to determine if the difference in average success rates between two groups is significant or random chance. This helps answer questions such as whether the average...