Testing For Differences
In scientific and medical research, null hypotheses play a major role in testing the significance of differences in treatment and control groups. This use, while widespread, offers several grounds for criticism, including straw man, Bayesian criticism and publication bias.
The typical null hypothesis at the outset of the experiment is that no difference exists between the control and experimental groups (for the variable being compared). Other possibilities include:
- that values in samples from a given population can be modeled using a certain family of statistical distributions.
- that the variability of data in different groups is the same, although they may be centered around different values.
Read more about this topic: Null Hypothesis
Famous quotes containing the words testing and/or differences:
“Now I see that going out into the testing ground of men it is the tongue and not the deed that wins the day.”
—Sophocles (497–406/5 B.C.)
“The country is fed up with children and their problems. For the first time in history, the differences in outlook between people raising children and those who are not are beginning to assume some political significance. This difference is already a part of the conflicts in local school politics. It may spread to other levels of government. Society has less time for the concerns of those who raise the young or try to teach them.”
—Joseph Featherstone (20th century)