When you write up the results of your statistical analysis in your dissertation or thesis or manuscript you can’t just present the *p*-value and claim you have a result. Instead you include summary statistics describing the data, a written description of what went up and what went down and you back this up by presenting the results of your ANOVA. For your typical one-way ANOVA you need to present what’s called the *F*-statistic and the Degrees of Freedom of your analysis, as well as the *p*-value. Here’s an example with two ANOVA results in bold:

The diameter of oocytes varied significantly between individuals from the three populations

(. Mature females from Froe Creek contained oocytes with a mean (±SD) diameter of 222.7 μm (±8.4). The Teign Estuary and Restronguet Creek females both had lower mean oocyte diameters with means of 206.5 (±14.1 μm) and 197.2 (±9.0), respectively. The Froe Creek mean was 108% of the Teign Estuary mean and 113% of the Restronguet Creek mean.F_{2,22}= 7.54,p< 0.01)No significant differences were observed between the variances of the diameters measured in collected oocytes

(. The mean variance (±SD) of oocytes collected from Froe Creek individuals was 20.2 (±20.8), that of the Teign Estuary individuals was 20.2 (±11.7) and that of Restronguet Creek individuals 31.8 (±15.2).F_{2,22}= 1.54,p= 0.239)

Note that the letter ‘*F*‘ is capitalised and italicised, the numbers following it (the Degrees of Freedom) are subscript and separated by a comma, and the ‘*p*‘ is also italicised. Here’s an example of the output of a one-way ANOVA in *R* from the previous post on how to do an ANOVA in *R*.* *I have highlighted where each value appears.

Finally, it’s important to remember that the *p*-value is an estimate and so, if you have a significant result (*p* < 0.05), it is customary not to present the actual *p*-value given by the ANOVA but to indicate instead that it is less than one of three arbitrary values: *p* < 0.05, *p* < 0.01 and *p* < 0.001.