Type I errors are made when a researcher incorrectly rejects the null hypothesis and erroneously accepts the alternative hypothesis. For example, a researcher may incorrectly conclude that two plant treatments are different by erroneously rejecting the null hypothesis. As a result they may assume that they have differing effects when they are—in fact— the same.