Filling in Blanks 1. The level of significance is the probability of making an) error. 2. Rejecting a null hypothesis when it is true represents a(n) error. 3. Failing to reject a null hypothesis when it is false represents a(n)_ _error. 4. The _is represented by the symbol Ho. 5. If your calculated test statistic does not meet or exceed the critical value, you would _the null hypothesis. Short Answer and Computation 6. Please state at least two ways to increase the (statistical) power of a hypothesis test. 7. If the probability of making type II error is 40%, what is the statistical) power?