Lumberg
New member
Rio 2001 said:Serious studies have to show if any difference between tested group and control group is STATISTICALLY SIGNIFICANT, there are complicated mathematical equations to process the data collected from the study and then tell if the results can mean anything.
Different methodologys presents different degrees of evidence, case reports are very low, non controlled , non randomized, low number of subjects, wrongful assumptions, lack of methodology, multiple variable contamination, all can lead one to discredit a reference study as being worth of consideration when analysing a situation.
In the example given, the simple majority of a group over the other is not statistically significant, and even if it was, you should ask how many variables between the 2 groups would have an impact on the result, like age, school background, etc...
Try to become familiar with the most respectable publications in each area , because those are more selective in publishing articles and it will be more difficult to find junk science.
Rio, you are a smart guy I know, but calculating the t statistic for a study like the one Nelson mentioned does not involve "complicated mathematical equations." Well, maybe to someone who hasn't studied statistics.
Most studies do calculate a t-statistic for a given p and the p given the data. Usually the threshold is 5%. Meaning, assume that the results lead the study creators to reject the nuill hypothesis, there is at most a 5% chance that they incorrectly rejected the null hypothesis. Of course there are alpha and beta errors.
I honestly don't think you can make rational examinatin of studies without a good understanding of statistics. ANd the peopl eho write the studeis have very strong backgrounds in stats.