Answer:
Reject H₀: If p-value < α = 0.05.
Fail to reject H₀: If p-value > α = 0.05.
Explanation:
The p-value is well-defined as the probability, [under the null hypothesis (H₀)], of attaining a result equivalent to or more extreme than what was truly observed.
We reject the null hypothesis if the p-value of a test statistic is lower than the level of significance α.
A small p-value (typically ≤ 0.05) specifies consistent proof against the null hypothesis (H₀), so you discard H₀.
A large p-value (typically > 0.05) specifies fragile proof against the H₀, so you fail to discard H₀.
In this case the significance level of the test is α = 0.05.
If the p-value of the test is less than 0.05 significance level then the null hypothesis will be rejected.
And if the p-value of the test is more than 0.05 significance level then the null hypothesis will be failed to be rejected.