In statistical practice the level of statistical significance is nearly always set to be 10%, 5% (most often), or 1%.

In statistical practice the level of statistical significance is nearly always set to be 10%, 5% (most often), or 1%.2 In this context, is the table of critical values above sufficient to cover all hypothesis testing possibilities at these significance levels? Is it an important limitation that you can only find lower and upper bounds to p-values from the table above? Explain your reasoning.