A high school principal recruits 18 instructors for teaching training. Each of the 18 individuals is randomly assigned to one of two groups (T= traditional methods, E=experimental methods). After the instructors spend 3 months on the job, the principal ranks them on the basis of their performance, from 1 (worst) to 18 (best), with the following results.
T: 2 3 5 9 10 12 13 14 15
E: 1 4 6 7 8 11 16 17 18
The principal wants to test if there evidence of a difference in the median performance between the two methods. The best technique to use in this case to answer the research question is a [ Select ] ["parametric", "non-parametric"] test.
The alternative hypothesis for the above test is [ Select ] ["p1=p2=p3", "mean 1 = mean 2", "D1 not equal D2"]
The value of the statistics for a 2-sided test here would be T = [ Select ] ["63", "83"] . Giving that the critical values from the appropriate tables is equal to [ Select ] ["62", "66"] we can conclude that there [ Select ] ["ISN'T", "IS"] statistical evidence to support the hypothesis that the medians are not equal.
Before the study ends, the researchers realizes that two individuals in the experimental group didn’t provide a written consent, therefore he cannot use their data. He also decides to run a non-parametric lower test at a 95% confidence level to see if one group performs better than the other. The new critical value from the appropriate table will be equal to [ Select ] ["66", "43", "72"]
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