11.
................... means rejection of hypothesis which should have been accepted.
Exam Year(s)
MH SET - 2024, SET Exam - 2024,
Answer: D
Rejecting a hypothesis that should have been accepted is a Type-I error.
A Type I error occurs when a true null hypothesis is rejected; its probability is the level of significance, alpha. A Type II error is the reverse: accepting (failing to reject) a null hypothesis that is false.
The null and alternative hypotheses are the statements being tested, not errors in deciding between them.
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