This is the remark that infuriated me:
Face it: in the grand scheme of things, your exam is not particularly important, nor is it a true measure of any student's aptitudes--particularly in statistics for aspirants to the social sciences (trust me; I know: I was horrendous in statistics in school but if I do say so myself I have blossomed into a darned good clinical psychologist).From this statement alone it can be determined that the person writing the comment was neither (well) trained in the social sciences, nor a "darned good" clinical psychologist.
I fight the idea that statistics is irrelevant every day in my classroom. Not only is statistics important for social scientists, it is an important component of any liberal arts education. Understanding and dealing with variability in measurements is fundamental, critical, essential for anyone who wishes to be a rational contributing member of society. The media bombard us with statistics each and every day, on every news broadcast, in the papers, and on billboards. "Four out of five dentists recommend!" "The risk of Type II diabetes increases!" "Lifetime risk of breast cancer!"
Without an understanding of statistics, statements about health risks, public opinion, government, public policy, effectiveness of different laundry detergents (and on and on and on) must simply be taken as fact or rejected as lies. Arriving at a real understanding of how this information may or may not influence each of us personally requires statistics. To be able to sift good information from bad information requires statistics. To be a good citizen requires statistics. "In the grand scheme of things" statistics may be one of the most important classes a student ever takes.
Let's talk about voting, the most important responsibility a citizen of a democratic society exercises. Modern (and not-so-modern) technology has provided us with an array of different voting machines. Should we worry about how secure these machines are? When should we become concerned about vote fraud? Are our voices being heard? Should we have to rely on some expert to tell us that an election was fair or should we be able to figure it out for ourselves?
Of course we have to be able to figure it out for ourselves. This is the purpose of the exit poll. The exit poll is a sample of voters taken at the polling place immediately after they have cast their ballots. The actual vote count should be similar to the figures provided by the exit poll, within some margin of error. Exit poll statistics that are widely different from the actual vote count signal election fraud. The exit polls strongly suggest that the 2004 election that returned President Bush to office was flawed. If we were citizens of the Ukraine, or Rwanda, the United Nations might have declared our election results invalid and sent in observers to insure a fair election. Where is the outrage in our country? No outrage here: we are so poorly trained as consumers of information that we would prefer to watch NBC's Medium than the election returns.
On to the psychologists. When I teach graduate students the clinical psychology students are especially well-aware that statistics is a key component of their discipline. Not only do they need to understand statistical methods to conduct their research, but even those who do not intend to pursue a research career appreciate that without a good understanding of statistics they will be unable to read and understand the literature in their field. How would you like to go to a doctor who is so poorly trained that she must rely on drug companies or newspapers to tell her what drugs are more or less effective in treating a disease? The "darned good clinical psychologists" know statistics well and use it to make themselves better therapists.
I appreciate that not many people need to know how to do an analysis of variance, but I insist that everyone needs to know what a standard (margin of) error is and how a margin of error constrains the claims someone can make about their data. To say that statistics is "not particularly important" reflects a gross misunderstanding about how information is marketed and consumed in our society and a terrible misconception of the work of social scientists.
