Median does not = average and the median is not inferential to the general population
http://www.msnbc.msn.com/id/19374216/wid/11915773?GT1=10056[/QUOTE]
This article does not say anything about a man or a woman's average number of sexual partners. This writer either does not know about statistical research or the do not know the difference between good research and junk science.
"The median number of lifetime female sexual partners for men was seven; the median number of male partners for women was four"
Median
The median of a distribution with a discrete random variable depends on whether the number of terms in the distribution is even or odd. If the number of terms is odd, then the median is the value of the term in the middle. This is the value such that the number of terms having values greater than or equal to it is the same as the number of terms having values less than or equal to it. If the number of terms is even, then the median is the average of the two terms in the middle, such that the number of terms having values greater than or equal to it is the same as the number of terms having values less than or equal to it. The median of a distribution with a continuous random variable is the value m such that the probability is at least 1/2 (50%) that a randomly chosen point on the function will be less than or equal to m, and the probability is at least 1/2 that a randomly chosen point on the function will be greater than or equal to m.
Mean
The mean of a statistical distribution with a discrete random variable is the mathematical average of all the terms. To calculate the mean, add up all the terms, and then divide by the number of terms in the distribution. This type of mean is also called the arithmetic mean (or more commonly, the "average"). The mean of a statistical distribution with a continuous random variable is the value of that random variable, denoted by the lowercase Greek letter mu (µ), such that the area under the probability density function curve to the left of µ is the same as the area under the curve to the right of µ. There is another type of mean for a finite set of terms that is called the geometric mean, but this is rarely used in statistics.
http://searchdatacenter.techtarget.com/sDefinition/0,,sid80_gci1060882,00.html
It is amazing to see how statistics can be manipulated and reported to mean something that the study was not designed to explore or how statistics can be manipulated and quoted so as to mean absolutely nothing and can even be outright manipulations of the truth and down right lies.
Without knowing how the study was done, the exact questions that were asked and the true make up and size of the sample population(this one is easy to manipulate to get the type of answers that you want), and judging from how poorly this study was reported, this article is all but useless.
When ever you do studies about sexual norms, you have to expect a certain amount of people will lie about their history, and becuase many people will not volunteer to participate in sexual information studies, you often have a sample population that does not even roughly approxmiates the general population, and thus the inference between the sample population and the general population is often iffy at best.
It would be better to read the actually study opposed to this poor write up
whew--all that comes from having too many statistical research classses in the same year of school