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    Explaining 6 Basic Statistics Questions on Hypothesis Testing

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    I am just wanting someone to see if answered these word questions correctly. My book isn't exactly to the direct point. I understand if your unable to.

    Which of the following accurately describes the critical region?
    * outcomes with a high probability if the null hypothesis is true
    * outcomes with very low probability if the null hypothesis is true (this is the one i selected?)
    * outcomes with a high probability whether or not the null hypothesis is true
    * outcomes with a very low probability whether or not the null hypothesis is true

    with o= .05, how are the boundaries for the critical region determined?
    * boundaries are drawn so there is 5% (0.5) in the center of the distribution
    * boundaries are drawn so there is 5 % (.05) in each tail (this is what i chose, but i am torn between it and the 2.5% because of each tail?)
    * boundaries are drawn so there is 2.5% (.025) in each tail
    * boundaries are drawn so there is 10% (.10) in each tail of the distribution

    If a hypothesis test produces a z score in the critical region, what decision should me made?
    *fail to reject the null hypothesis
    * fail to reject the alternative hypothesis
    * reject the alternative hypothesis
    * reject the null hypothesis (this is the one i had chosen?)

    A sample of n= 25 individuals is selected from a population with u=80 and a treatment is administered to the sample. what is expected if the treatment has no effect?
    * the sample mean should be very different from 80 and should lead you to fail to reject the null hypothesis
    * the sample mean should be close to 80 and should lead you to fail to reject the null hypothesis
    * the sample mean should be very different from 80 and should lead you to reject the null hypothesis
    * the sample mean should be close to 80 and should lead you to reject the null hypothesis. ( this is the one that i had chosen?)

    which of the following is an accurate definition of a type 1 error?
    * rejecting a false null hypothesis
    * rejecting a true null hypothesis (this is the one i had chosen?)
    * failing to reject a false null hypothesis
    * failing to reject a true null hypothesis

    which of the following is an accurate definition of a type II error?
    * rejecting a true null hypothesis
    * rejecting a false null hypothesis
    * failing to reject a true null hypothesis
    * failing to reject a false null hypothesis ( this is the one i had chosen?)

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    Solution Preview

    Which of the following accurately describes the critical region?
    outcomes with very low probability if the null hypothesis is true

    with o= .05, how are the boundaries for the critical region ...

    Solution Summary

    The solution gives detailed steps on explaining 6 basic statistics questions including hypothesis testing, type 1 error, type 2 error and critical region.

    $2.19

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