-Create your own real world null and alternative
superiority hypothesis example.
-THEN write the same scenario/hypothesis as an
alternative equivalence AND alternative non-inferiority
hypotheses.
Does the data support the hypothesis that more than half of the
countries in the world are mostly christian at the .05 significance
level? How about at the .10 significance level?
Chrisitan
18
Orthodox
3
Muslim
1
Catholic
2
Jewish
1
Buddhist
2
Lutheran
3
Total = 30
Does the data support the hypothesis that more than half of the
countries in the world are mostly christian at the .05 significance
level? How about at the .10 significance level?
Buddhist - 10
Catholic - 2
Christian - 5
Orthodox - 2
Jewish -2
Lutheran - 2
Shintoism -3
Hindu - 2
Protestant 1
Other- 1 Total=30
Explain how a hypothesis testing for a mean is similar to a
hypothesis test for a proportion. Then explain how z-test for a
mean is different than a t-test for a mean.