Answer
See below.
Work Step by Step
The null hypothesis says that the all population means are equal to each other:
$H_0:\mu_1=\mu_2=\mu_3$
The alternative hypothesis says the opposite of the null hypothesis, which is that at least one of the means doesn't equal all the others.
If the P-value is less than $\alpha$, which is the significance level, then this means the rejection of the null hypothesis and that the test is statistically significant.
$P\lt 0.05$, thus we reject the null hypothesis. Thus there is sufficient evidence to support the claim that the sample means in the three groups differ.
