Why is it important, when reading the results of a hypothesis test, to determine whether the test was one or two sided?
a. If a test is one sided, and details aren't reported, you could be misled into thinking there is no difference, when in fact there was one in the opposite direction than was hypothesized.
b. If the researchers planned to conduct a two-sided test, then later changed to a one-sided test, you should be very suspicious.
c. It gives you some insight as to what the researchers originally intended to investigate, and/or the direction in which they originally hypothesized the relationship to be.
d. All of the above.
Question 2
When it comes to sample size, results may be larger (more significant) than they appear is a good way to describe one of the possible problems with a hypothesis test. Explain how this can happen.
Citrate synthase test
Performing a PKU Test
Steric interactions determine peptide conformation
Student Test Scores versus GDP per Capita
Allen’s test
The Turing Test