1. The level of significance is the probability of making a (n) _______ error. 2

Question

1. The level of significance is the probability of making a (n) _______ 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 H.

5. The alpha level is also known as the level of ___________.

6. Another name for the region of rejection is the _____________________.

7. If your calculated test statistic does not meet or exceed the critical value, you would ____________ the null hypothesis.

8. The levels of significance most commonly used by statisticians are the _____ and _____ levels.

9. When our calculated test statistic falls within the _________, we reject the __________________.

Explanation / Answer

ANSWERS:

(1) Type 1

(2) Type 1

(3) Type 2

(4) Null hypothesis

(5) Significance

(6) Critical region

(7) fail to

(8) 0.05,0.01

(9) Critical, Null hypothesis

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