"The probability of committing Type-I error can also be called the level of significance of a test. Now, what do we mean by Type-I error? In order to obtain an answer to this question, consider the fact that, as far as the actual reality is concerned, H0 is either actually true, or it is false. Also, as far as our decision regarding H0 is concerned, there are two possibilities --- either we will accept H0, or we will reject H0. Source: http://in.docsity.com/en-docs/T_Distribution-Statistics-Solved_Quizes_"
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