I have been doing some research concerning the prime number distribution, and basically have come to a point in which I'm not sure what direction to take. I'll breifly explain my work in hopes that someone may have some suggestions, or some conjectures which may spark new directions.(adsbygoogle = window.adsbygoogle || []).push({});

My work has mainly been a statistical analysis of the distribution and the corresponding prime gaps. A prime gap is the difference between to consecutive primes. Now what I have done so far is to compute the average prime gap over certain intervals. For instance a have computed the average prime gap for the frst thousand primes, the second thousand primes and so on. Now we have a sampling distribution of means, and so we can linearly regress the means to form an equation. Also from the data we can compute confidence intervals about the slope of our linear regression line. Now it just so happens that the confidence interval includes zero, so we cannot rule out the possibility that there is no relation, a slope of zero. It would appear that the average value for prime gaps taken in samples of one thousand progress in linear fashion. But who is to say that this does not exhibit an exponetial trend somewhere down the number line when prime numbers become increasingly sparse. Another thing to consider is the fact that I'm dealing with an infinite population, which obviously makes things a bit difficult.

What I'm looking for is perhaps a new direction. Maybe there is somthing I over looked, or a new relationship I can explore, maybe somthing analytical or somthing to help solidify arguements. If you have any questions please ask, and any ideas, suggestions or comments would be appreaciated. Thanks.

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