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Schweser Question

Which of the following statements about hypothesis testing is least accurate?
A) The null hypothesis is a statement about the value of a population parameter.
B) A Type II error is failing to reject a false null hypothesis.
C) If the alternative hypothesis is Ha:

C, should be greater than or equal to

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actually it should be different than, no equality in the alternative, equality in the null.

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Ok thanks. When I did this I read the question incorrectly. Hate it when that happens.

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Whenever you find a A good approach to take is “least accurate” type question, cross out the “least accurate” and replace it with “False”. It helps to keep things straight.

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