Overview[ edit ] In applying statistics to a problem, it is common practice to start with a population or process to be studied. Populations can be diverse topics such as "all persons living in a country" or "every atom composing a crystal".
Or a selection of towns and cities, rural, urban and suburban, in all parts of the country? Statistics on the incidence of rape in the US vary wildly depending on whether the study asks law enforcement or rape counseling centers one set is based on the number of Statistics problems rapes, the other on the number of women needing counseling whether or not they reported the rape to law enforcement.
Both examples above appear to be hard science, since they are based on "hard" facts, but nonetheless must be examined for who was asked.
Soft science statistics are even more slippery than hard science statistics. First, there are few hard, repeatable, non-subjective facts on which to base the statistics. If you wish to show how people react to violence, Statistics problems do you define violence? And how do the people in your study define violence a victim of a mugging may define violence as getting within five feet of him, while a mugger may define it as anything that happens that causes him physical damage what he does to others is simply high spirits.
Also bear in mind that any study that uses human subjects is almost impossible to conduct under laboratory conditions, in which all factors that could effect the outcome of the experiment are controlled, including the variable under study. For a truly statistically valid study showing the effects of television violence on children, the children would have to isolated from all other factors that could have an influence.
These other factors would include contact with other human beings, with other expressions of violence people, reading, radio, movies, newspapers, video games, etc. This would obviously work to the social and developmental detriment of the children.
As a matter of fact, a recent controversy arouse over using medical data collected by the Nazis in the concentration camps. These data were collected with absolutely no regard for the fact that the test subjects were human beings; they were treated much worse than any laboratory animal in the world today.
Ethical and moral considerations aside, the data are viewed as valuable. However, there are people who believe that the ethical and moral considerations are paramount, and that the data, no matter how valuable, should be destroyed because of the way they were gathered.
In addition to the fact that any study involving humans must take into account human and humane considerations, you should never underestimate the perversity of a human being. In studying comedy one of the first things I learned was never tell the audience I was going to be funny.
The moment a comedian says to an audience, "You're really going to find this funny," the same audience that moments before was falling out of their chairs laughing will turn cold and silent, with an "Oh, yeah? In the same vein, a truism in advertising is that fifty percent of advertising works; the problem is no one can figure out which fifty percent.
The reason is that no one can really figure out what will influence people to buy products.
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To try to understand "soft" statistics, let's take a look at advertising research and consumer behavior, both of which are subsets of socio- and psychological research. In particular, we'll look at some basic axioms of consumer research that apply to any soft statistics.
First is the realization that all people are different.
No two people, not even identical twins, are exactly the same background and upbringing, have had the same conversations in the same words, have read the same books or magazines or newspapers at exactly the same time, or done anything the same as anyone else.
This fact is precisely the opposite of what is necessary to statistics -- that there are similarities that give significance to the variables.
There are, of course, some factors that many people have in common with other people, and upon them statistics depend. These factors can include the society in which they live, their social class, whether they are urban, suburban or rural; their relationships -- most people have had a mother and father, perhaps siblings, friends of the same or opposite sex; and their interests: Of course, not everybody fits into all categories.
Again, all people are different, but they do have some things in common. What the above means is that no statistic has any application to an individual, but can have an application to the group.
However, the statistics are determined on the basis of studying individuals in the group, not studying the group. Now recall the problems with individuals. First, individuals change, not only from year to year but from moment to moment.Statistics Problems With Solutions Return to Statistics Internet Library for videos, software assistance, more problems and review.
Updated 6/14/18 Please link . Home > College Drinking-Related Statistics > Consequences of Alcohol Use Consequences. Researchers estimate that each year: 1, college students between the ages of 18 and 24 die from alcohol-related unintentional injuries, including motor-vehicle crashes.
1 , students between the ages of 18 and 24 are assaulted by another student who has been drinking. 2.
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Research. Statistics/Data. Experts have reported that knowledge about elder abuse lags as much as two decades behind .