AlmaBetter Blogs > 5 real-time use cases of ANOVA

5 real-time use cases of ANOVA

Data Science
Most individuals will learn ANOVA but might fail to understand the importance with respect to real life scenarios & ANOVA (Analysis of Variance) is one of the key statistical tests having different practical use cases in real world applications.
5 real-time use cases of ANOVA

In this blog, instead of getting into mathematics, we are going to cover the top 5 real-time use cases in the industry with respect to ANOVA. Don’t hesitate to refer to these examples when someone asks you for a real-time example of ANOVA.

What is an ANOVA?

ANOVA stands for Analysis of Variance. It is a statistical technique used to test whether there are significant differences between the means of two or more groups. The two most common types of ANOVAs are the one-way ANOVA and two-way ANOVA.

A one-way ANOVA is used to determine how one factor impacts a response variable. For example, we might want to know if three different groups of students have different mean GPAs. To see if there is a statistically significant difference in mean GPAs, we can conduct a one-way ANOVA.

A two-way ANOVA is used to determine how two factors affect a response variable and whether or not the two factors interact with the response variable. For example, we might want to know how different types of food and how different levels of metabolism impact average weight loss. We would conduct a two-way ANOVA to find out.

There are different ANOVA tests like three-way ANOVA & four-way ANOVA which are not well known and are uncommon but we will not talk about them in much detail in this blog.

Now, we will share four different examples of when ANOVAs are actually used in real life.

Real-time Use Case #1

An ANOVA test would most likely be used in a manufacturing plant to determine the best materials to use to build a product for a customer. The company may need to test which metal is the most durable to purchase. If the prices of three different types of metals differ significantly, the company may be looking for ways to save money while still providing a high-quality product. The ANOVA test would be appropriate for determining the sturdiness of metals and which would be best for building their products. The company may discover that all of the metals are strong enough to withstand the use of the product. This would allow the company to select the least expensive of the samples to be used as the material.

Real-time Use Case #2

The ANOVA test can also be used in the business world. If a company wants to test the effectiveness of five different marketing strategies, they will use the ANOVA test. The company will randomly select a sample of customers and divide them into five groups. The groups will be given different marketing strategies to see which one is the most effective. The company will then analyze the data to see which marketing strategy had the most positive effect on the customers.

Real-time Use Case #3

In the sports industry, ANOVA is used to analyze data from athletes in order to improve their performance. This data can be used to identify areas where athletes need to improve and design training programs that will help them improve in those areas. ANOVA can also be used to compare the performance of different athletes and identify trends in performance over time.

Real-time Use Case #4

Anova can be used in the healthcare industry to monitor and optimize patient care. For example, by tracking patients’ vital signs, nurses can use ANOVA to identify which patients are at risk for complications and need more attention. Additionally, ANOVA can be used to evaluate the effectiveness of different treatments and medication regimens.

Real-time Use Case #5

A real-time use case of ANOVA in the e-commerce industry would be to track customer satisfaction levels with different types of products. This could be done by surveying customers after they make a purchase and then using ANOVA to compare the results. This would help the company to identify which products are most popular and which ones need to be improved.

Conclusion: Overall, ANOVA is a versatile and useful tool for analyzing real-time data. By understanding the different ways it can be used, businesses can unlock a wealth of insights that can help them make better decisions and improve their operations.

If you are interested in learning more about ANOVAs and other Data Science concepts, you can opt for our Full Stack Data Science program, which also offers 100% placement guarantee and the opportunity to be placed with our strong network of 500+ active hiring partners.

Read our latest blog on “Feature Encoding with Python: Beyond the Basics”.

Narender Ravulakollu
Technical Content Writer at AlmaBetter

Related Posts

  • Location
  • 4th floor, 133/2, Janardhan Towers, Residency Road, Bengaluru, Karnataka, 560025
  • Follow Us

© 2022 AlmaBetter