50% Discount| LSS Yellow Belt

The Analysis of Variance (ANOVA) Explained

The Analysis of Variance, commonly known as ANOVA, is a statistical technique used to compare means between two or more groups. In its simplest form, ANOVA can test for differences in mean values between two groups. However, ANOVA can also be used to test for differences in mean values between more than two groups. In this blog post, we’ll take a closer look at how ANOVA works and what it can be used for.

How ANOVA Works

 

ANOVA works by partitioning the total sum of squares into several components, each of which can be tested separately. This allows us to test for differences in means between two or more groups without making any assumptions about the distributions of the data.

There are three main types of sum of squares that are used in ANOVA:

 

– The between-group sum of squares (SSB), which tests for differences in mean values between groups;

– The within-group sum of squares (SSW), which tests for differences in individual values within groups; and

– The total sum of squares (SST) is the sum of the between-group and within-group sum of squares.

The F-statistic is calculated using the between-group and within-group sums of squares. The F-statistic can be used to determine whether there is a significant difference in mean values between two or more groups.

Want to learn more about Lean Six Sigma and why it's important to help develop your career or your business?

TAKE OUR QUIZ | Test YOUR KNOWLEDGE

TEST YOUR BUSINESS KNOWLEDGE

Only takes 5-mins

TAKE OUR QUIZ | Test YOUR KNOWLEDGE

TEST YOUR BUSINESS KNOWLEDGE

Only takes 5-mins

Save 50% on our career-changing business course and get Lean Six Sigma Yellow Belt Certified.

Use discount code “yb50offer” at checkout |  Join Now =>

Uses for ANOVA

 

ANOVA can be used for both experimental data (data that has been collected under controlled conditions) and observational data (data that has been collected in the wild). However, it is most commonly used with experimental data.

Some typical applications for ANOVA include:

 

– Testing for differences in mean values between two or more groups

– Testing for interactions between variables

– Testing for effects of treatments or interventions

– Determining which variables are predictive of a dependent variable

Conclusion: ANOVA

 

ANOVA is a powerful statistical technique that can compare means between two or more groups. This blog post has looked closely at how ANOVA works and some typical applications for this technique. Whether working with experimental or observational data, ANOVA can be a valuable tool for understanding relationships between variables and testing hypotheses about those relationships.

Join one of our Lean Six Sigma Green Belt Courses to learn more about ANOVA.

Related Articles

Lean Academy

100% Free Training Course

Looking to learn more about Lean? Take our Fundamentals of Lean course and learn how lean drives business performance.

Fundamentals of Lean - Free Lean Six Sigma Course Screenshot

Our most POPULAR COURSE

YELLOW BELT COURSE | SELF PACED | ONLINE

Rating 5
5/5

Get your Lean Six Sigma Yellow Belt Certification Online with Leanscape today. This course will help accelerate your professional career to new heights while improving your problem-solving capabilities and learning to manage projects. Engaging webinars, hands-on activities, and interactive materials.

PRICE: £167 | Flexible Payment Plans AVAILABLE

TAKE OUR QUIZ

WHICH COURSE is right for you?

Take our short quiz to find out which Lean Six Sigma Course is right for you. 

Join our Newsletter

Subscribe to the our newsletter today and be the first to access new insights, posts and udpates.

ACCELERATE YOUR CAREER

Would You Like To Level Up Your Business Skills?

Sign up to get access to our Fundamentals of Lean course for FREE!

Free 30-days free access plus certificate on completion