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 (497406/5 B.C.)
“Toddlerhood resembles adolescence because of the rapidity of physical growth and because of the impulse to break loose of parental boundaries. At both ages, the struggle for independence exists hand in hand with the often hidden wish to be contained and protected while striving to move forward in the world. How parents and toddlers negotiate their differences sets the stage for their ability to remain partners during childhood and through the rebellions of the teenage years.”
—Alicia F. Lieberman (20th century)