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

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 simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.

Sample size comparison There is a rich literature on the discussion of sample size and power calculations for family-based studies.

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 ...

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.

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 ...

Showing margins of errors in graphics can help prevent readers from thinking that survey estimates are more precise than they really are.