similarities between parameters and statistics?

Answer 1

A parameter is a "true" value, the value for the whole population. For instance, if you wanted to know the parameter value mu for the average height of adult males in the world, you would have to measure all the heights of the (about) 1 billion adult males on the planet. That's not reasonable. So parameter values are usually unknown. An example where it would be known is femur length for all samples of Austalopithecus afarensis (spelling?). Anyway, when there is a small population, you can reasonably find the parameter value.

A statistic is a sample value. If you want to know average adult male height, you take a sample of a 100, or a 1000, or whatever, adult males and measure their heights. You get a statistic, x-bar.

You assume that x-bar is about equal to mu, especially when your sample size is large. A hint: Greek letter (mu, sigma) is a parameter value, a Latin letter (x-bar,s) is a statistic.

Answer 2

parameters usually include formulas...same with statistics..statistics usually has some kind of surveys which have to be computed for some purposes so i guess both deal with calculations..:)