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The researcher must decide on the level of significance before formulating a decision rule and collecting sample data.

1.The researcher must decide on the level of significance before formulating a decision rule and collecting sample data.

2.A test statistic is a value determined from sample information used to reject or not reject the null hypothesis.

3. Two types of possible errors always exist when testing hypotheses—a Type I error, in which the null hypothesis is rejected when it should not have been rejected, and a Type II error in which the null hypothesis is not rejected when it should have been rejected.

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1) it is false as you should mention or explain in... View the full answer

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