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https://www.simplypsychology.org/anova.html
The test statistic for an ANOVA is denoted as F. The formula for ANOVA is F = variance caused by treatment/variance due to random chance. The ANOVA F value can tell you if there is a significant difference between the levels of the independent variable, when p < .05. So, a higher F value indicates that the treatment variables are significant.
https://www.scribbr.com/statistics/one-way-anova/
Use a one-way ANOVA when you have collected data about one categorical independent variable and one quantitative dependent variable. The independent variable should have at least three levels (i.e. at least three different groups or categories). ANOVA tells you if the dependent variable changes according to the level of the independent variable.
https://www.statology.org/anova-assumptions/
A one-way ANOVA is a statistical test used to determine whether or not there is a significant difference between the means of three or more independent groups.. Here’s an example of when we might use a one-way ANOVA: You randomly split up a class of 90 students into three groups of 30. Each group uses a different studying technique for one month to …
https://www.scribbr.com/statistics/anova-in-r/
Getting started in R. Step 1: Load the data into R. Step 2: Perform the ANOVA test. Step 3: Find the best-fit model. Step 4: Check for homoscedasticity. Step 5: Do a post-hoc test. Step 6: Plot the results in a graph. Step 7: Report the …
https://www.math.net/anova
ANOVA. Analysis of variance (ANOVA) refers to various statistical methods used to compare the means of independent groups of interest in order to assess whether the groups are part of some larger population. There are various forms of ANOVA, with the simplest form being a one-way ANOVA, which is a type of statistical hypothesis test that uses F ...
https://www.statology.org/how-to-report-anova-results/
When reporting the results of a one-way ANOVA, we always use the following general structure: A brief description of the independent and dependent variable. The overall F-value of the ANOVA and the corresponding p-value. The results of the post-hoc comparisons (if the p-value was statistically significant). Here’s the exact wording we can use ...
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