Question

# ___ non-directional test       ___ directional test      ___ alpha level           ___ null hypothesis     ___ alternative hypothe

 ___ non-directional test       ___ directional test      ___ alpha level           ___ null hypothesis     ___ alternative hypothesis      e. ___ rejection range     ___ inferential            ___ inference             ___ significance tests ___ statistical power a. The hypothesis that is rejected or retained using inferential statistics and is often the opposite of what the researcher believes to be true. b. The researcher hypothesizes that a given score will be either higher or lower than the chosen level of significance. c. The likelihood of rejecting the null hypothesis given that the null hypothesis should be rejected. d. The researcher predicts the two groups will differ, but does not predict which group will be higher. e. Lies in one or both tails of the sampling distribution and indicates the sample values most unlikely to occur at the given level of significance. f. The amount of type I error the researcher is willing to allow in the study. g. Generally the research hypothesis; a statement of what occurs if the null hypothesis is rejected. h. Determines the probability that the null hypothesis is true. i. Used to infer correlation and causation. j. Making a judgment on a population parameter based on sampling.

 d_ non-directional test       b__ directional test      f__ alpha level           a__ null hypothesis     g__ alternative hypothesis      e__ rejection range     i__ inferential            j__ inference             h__ significance tests c__ statistical power a. The hypothesis that is rejected or retained using inferential statistics and is often the opposite of what the researcher believes to be true. b. The researcher hypothesizes that a given score will be either higher or lower than the chosen level of significance. c. The likelihood of rejecting the null hypothesis given that the null hypothesis should be rejected. d. The researcher predicts the two groups will differ, but does not predict which group will be higher. e. Lies in one or both tails of the sampling distribution and indicates the sample values most unlikely to occur at the given level of significance. f. The amount of type I error the researcher is willing to allow in the study. g. Generally the research hypothesis; a statement of what occurs if the null hypothesis is rejected. h. Determines the probability that the null hypothesis is true. i. Used to infer correlation and causation. j. Making a judgment on a population parameter based on sampling.

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