Selecting a random sample from a set is simple. But what about selecting a fair random sample from a set of unknown or indeterminate size? That’s where reservoir sampling comes in, and [Sam Rose ...

A larger sample size reduces the likelihood of sampling errors and increases the likelihood that the sample accurately reflects the target population.

Simple random sampling is a method used to cull a smaller sample size from a larger population and use it to research and make generalizations about the larger group.

The limits of contacting only a sample population bring a certain amount of error into a poll. This is called the sampling error, because a sample by definition doesn’t include everyone.

Estimators of the population mean and the population size are considered. Computer simulated results are given, and an example using line-intercept sampling of vegetation is provided to illustrate ...

Some of the better-known statistical rules of thumb that a smart consumer might think apply in polls are more nuanced than they seem. In other words, as is so often the case in life, it’s complicated.

Pew Research Center designed this study to assess the current state of online survey sampling methods – both probability-based and opt-in – and determine their accuracy on general population estimates ...

This paper presents a statistical sampling approach based on the multinomial distribution for obtaining a bound for either total population understatement or overstatement errors or both. The approach ...