If we reject the null hypothesis when it is true, we might be making |
Type-I error Type-II error Sampling error Calculation error |
Type-I error |
The correct answer is Option (1) → Type-I error ** If the null hypothesis is actually true but is rejected, the mistake committed is called a Type-I error. The correct answer is Type-I error. |