A Type-I error occurs when the null hypothesis is incorrectly rejected, even though it is actually true. This is also known as a ”false positive.”
| I | Hypothesis | a | Null |
| II | published Books | b | Tool |
| III | Schedule | c | Subject matter of research |
| IV | Applied | d | Secondary Source |