Six Sigma ANOVA

ANOVA in six sigma stands for analysis of variation in six sigma courses. Six sigma is an aid for the organizations that need improvements in various departments and this is why, all the time-tested strategies of management are included in the methodologies of six sigma. The black belts and master black belts are coached thoroughly on this particular topic as this involves the statistical analysis of the data fluctuations. The consultants should understand the concept of ANOVA by heart in order to become successful in six sigma project implementations.

Six sigma is a compilation of all the time-tested methods that has proved beneficial in bringing out certain improvements in the organizations. There are certain applications and tools that help one assess and execute various six sigma projects. ANOVA is one of the most useful tools available with six sigma. This is described as the statistical estimation of the collected or sample data which aids in deciding whether there exists any difference among the various data sets. A variation of ratio, obtained by assumptions, is used to calculate the fluctuation in averages.

Professionals who have mastered the techniques of six sigma are all aware of the ANOVA and its usages. The full form of ANOVA is Analysis of Variance. The training institutes use sample materials to make the professionals understand various facts about ANOVA. In solving the practical problems, ANOVA proves really helpful. As ANOVA is based on the variation of data, the six sigma consultants use it at the analysis and statistical control phase. Those who do not belong to a background of statistics are often not aware of the importance of variants and small fluctuation in data. With a complete study of ANOVA they can easily make out when and how these data should be used.

ANOVA is also known as hypothesis testing. It helps in determining the differences, if any, in two samples of collected data. When the averages are equal to each other, the situation is denoted as “Null Hypothesis”. When the samples have differing values, it is described in the results which are measured at a certain level of confidence. This analysis can be done with Excel. The two available forms are single and double factor analysis. The concept of ANOVA is used in the six sigma applications in various industries, especially in the health care field.

Assumptions of ANOVA:

  • The data collected in various phases is generally analyzed by the double analysis method of ANOVA. This calculation is based on the results shown on ratio scales or interval of the same experiments.
  • Collected data is sampled without fail on random basis.
  • Data collection is based on variations.
  • Variation of data is noted and measured carefully for thorough analysis.

Benefits of ANOVA: There are quite a number of benefits of ANOVA. It helps a black belt or master black to estimate the credibility of data collected. The variation in data is important to execute various levels of DMAIC methods. In the final step of statistical controlling, ANOVA helps a professional significantly.

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