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"Survey

Do You Understand Your Survey Results?

Many companies spend considerable amounts of money on customer and employee surveys every year. The survey results are used to amend strategies, design new products and services, focus improvement activities, target staff development activities and … to celebrate success.

The question is: Can we always rely on what we see?

"Wilcox

Making Sense of the Wilcoxon Test

At MyInsurance, survey results have been collected in 2017, 2018 and 2019. The rating was done on a 10-point Likert ranging from 1 … very poor to 10 … outstanding. As always, the upper 3 points, i.e. 8, 9 and 10, are seen as customer is satisfied. All other ratings are undesirable. How did MyInsurance do over the years?

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Making Sense of Test For Equal Variances

Three teams compete in our CHL business simulation. After completing Day One, it looks like the teams show a very different performance. Although the means look very similar, the variation is strikingly different. To test this assumption of different variation among the teams, the Test for Equal Variances is deployed.

"Kano

Make Use of Your Survey Data – Kano Them

Survey data should be analysed with different tools at the same time in order to find the most appropriate method to show “patterns in data” that lead to conclusions. The Kano analysis or the Jaccard index offer additional insights into survey data.
Remember: Attaining the data is expensive, analysing them is cheap.

"Two

Making Sense of the Two-Proportions Test

Consider a production process that produced 10,000 widgets in January and experienced a total of 112 rejected widgets after a quality control inspection (i.e., failure rate = 1.12%). A Six Sigma project was deployed to fix this problem and by March the improvement plan was in place. In April, the process produced 8,000 widgets and experienced a total of 63 rejects (failure rate = 0.79%). Did the process indeed improve?

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Making Sense of ANOVA – Find Differences in Population Means

Three methods for dissolving a powder in water show a different time (in minutes) it takes until the powder dissolves fully. The results are summarised in Figure 1.

There is an assumption that the population means of the three methods Method 1, Method 2 and Method 3 are not all equal (i.e., at least one method is different from the others). How can we test this?

"innovation

Making Sense of Binary Logistic Regression

In some situations, Six Sigma practitioners find a Y that is discrete and Xs that are continuous. How can a regression equation be developed in these cases? Black Belt training indicated that the correct technique is something called logistic regression or binary regression. But this tool is often not well understood.

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Making Sense of Attribute Gage R&R Calculations

Measurement error is unavoidable. There will always be some measurement variation that is due to the measurement system itself.

Most problematic measurement system issues come from measuring attribute data in terms that rely on human judgment such as good/bad, pass/fail, etc. This is because it is very difficult for all testers to apply the same operational definition of what is “good” and what is “bad.”

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