What is Sample size?
In [[statistics]], the '''sample size''' of a [[statistical sample|sample]] is the number of [[observation]]s that make up it. It is usually denoted as ''n'',<ref>{{Cite web|date=2020-04-26|title=List of Probability and Statistics Symbols|url=https://mathvault.ca/hub/higher-math/math-symbols/probability-statistics-symbols/|access-date=2020-08-21|website=Math Vault|language=en-US}}</ref> a positive [[integer]] ([[natural number]]). For large sample sizes of 30 or more, statistics describing the samples tend to be more reliable. As a result, statistical analysis is easier with large samples than with small samples. In research, sample sizes are often calculated before the experiment are conducted to make sure that the desired conditions can be met.<ref>{{Cite web|title=What Is the Meaning of Sample Size?|url=https://sciencing.com/meaning-sample-size-5988804.html|access-date=2020-08-21|website=Sciencing|language=en}}</ref> == Related pages == * [[Central limit theorem]] * [[Law of large numbers]] * [[Standard error]] == References == <references /> {{stub}} [[Category:Statistics]] [[de:Zufallsstichprobe#Stichprobenumfang]]