A group of researchers studied the effect of global environmental change on grazing lands. Their article reported the results of 171 different hypothesis tests. Of these tests, 4 were determined to be statistically significant at the 0.05 level.
1. When constructing and implementing hypothesis tests, what reasoning is used behind the statement of the null and alternative hypotheses?
2. Why are hypothesis tests set up in this way?
3. For each of the tests, what was the probability of committing a type I error? Explain.
4. Based on this information, what conclusions might be drawn?