In conclusion it is necessary to use the ANOVA when the design of a study has more than 2 condition to compare. The t-test is simple and less daunting especially when you see a 2x4x5 factorial ANOVA is needed, but the risk of committing a type I error is not worth it.
https://jessicaaro.wordpress.com/2012/03/25/why-use-the-anova-over-a-t-test/
Typically, however, the one-way ANOVA is used to test for differences among at least three groups, since the two-group case can be covered by a t-test (Gosset, 1908). When there are only two means to compare, the t-test and the F-test are equivalent; the relation between ANOVA and t is given by F = t2.
https://en.wikipedia.org/wiki/One-way_analysis_of_variance
Sous vide cooking is made even easier with the Anova recipes app — simply choose your recipe, prepare your ingredients, and hit “connect” on the app. It’ll set the time and temperature settings for you! The key to sous vide cooking is the “sous vide” (or “under vacuum”) part of the equation.
https://anovaculinary.com/what-is-sous-vide/how-to-cook-sous-vide/
The One-Way ANOVA (analysis of variance) compares the means of two or more independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. One-Way ANOVA is a parametric test. This test is also known as: One-Factor ANOVA.
http://libguides.library.kent.edu/SPSS/OneWayANOVA
With the Anova, sous vide cooking is simple. All you need to get started is a pot or large container to hold water, heavy duty bags, a few clips, and your Anova Precision Cooker, of course! One of the best parts of sous vide cooking is that you don’t need to do much to your food before cooking.
https://anovaculinary.com/what-is-sous-vide/how-to-cook-sous-vide/
Why use the ANOVA over a t-test? March 25, 2012. The point of conducting an experiment is to find a significant effect between the stimuli being tested. To do this various statistical tests are used, the 2 being discussed in this blog will be the ANOVA and the t-test.
https://jessicaaro.wordpress.com/2012/03/25/why-use-the-anova-over-a-t-test/
Analysis of Variance, or ANOVA for short, is a statistical test that looks for significant differences between means. For example, say you are interested in studying the education level of athletes in a community, so you survey people on various teams.
https://www.thoughtco.com/analysis-of-variance-anova-3026693
In statistics, one-way analysis of variance (abbreviated one-way ANOVA) is a technique used to compare means of three or more samples (using the F distribution). This technique can be used only for numerical data.
https://en.wikipedia.org/wiki/One-way_analysis_of_variance
When we have only two samples we can use the t-test to compare the means of the samples but it might become unreliable in case of more than two samples. If we only compare two means, then the t-test (independent samples) will give the same results as the ANOVA. It is used to compare the means of more than two samples.
https://explorable.com/anova
There are four basic assumptions used in ANOVA. 1  the expected values of the errors are zero. 2  the variances of all errors are equal to each other. 3  the errors are independent.  they are normally distributed.
https://explorable.com/anova
when do you use anova
Anova is used when the design of a study has more than 2 condition to compare. You can use the one-way analysis of variance, when the design of a study has more than 2 condition to compare.