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(Solved): Filling In Blanks 1. The Level Of Significance Is The Probability Of Making An) Error. 2. Rejecting ...

Filling in Blanks 1. The level of significance is the probability of making an) error. 2. Rejecting a null hypothesis when it

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?

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