Question

1. In hypothesis testing , alpha defines:

   		Proportion of probable outcomes.
   		Importance of statistical findings.
   		probability value that separates "common" and "rare" outcomes.
   		probability of Type II error was made.

1. According to the textbook, if researchers decide to use a one-tailed Z-test rather than a two-tailed Z-test, they would have to justify the use of aone-tailed test on the basis of

   		the amount of sampling error.
   		the amount of degrees of freedom.
   		the difference between the hypothesized and observed means after first looking at the data
   		logical or theoretical considerations concerning the expected direction of difference between to hypothesized and observed means prior to data analysis
   		Observed direction of difference between to hypothesized and observed means

Answer 1

In hypothesis testing, alpha defines the probability of type I error that was made and it is also defined as the proportion of probable outcomes.

According to the textbook, if researchers decide to use a one-tailed Z-test rather than a two-tailed Z-test, they would have to justify the use of aone-tailed test on the basis of observed direction of difference between to hypothesized and observed means

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