A null hypothesis is the hypothesis that any difference in outcomes is the result of a sampling error or standard variation. Think about flipping a coin. While you have 50/50 ODDS for the coin to land on HEADS, sometimes the outcome in practice is 51/49 or some other variation due to chance. The more you flip the coin, though, the closer you should get to a 50/50 result. In STATISTICS, the way you PROVE or disprove an idea is to dispute the null hypothesis. Disputing a null hypothesis is a matter of running the experiment long enough to rule out an incidental outcome. This concept is also referred to as reaching statistical significance.

A null hypothesis is the hypothesis that any difference in outcomes is the result of a sampling error or standard variation. Think about flipping a coin. While you have 50/50 odds for the coin to land on heads, sometimes the outcome in practice is 51/49 or some other variation due to chance. The more you flip the coin, though, the closer you should get to a 50/50 result. In statistics, the way you prove or disprove an idea is to dispute the null hypothesis. Disputing a null hypothesis is a matter of running the experiment long enough to rule out an incidental outcome. This concept is also referred to as reaching statistical significance.