A Type I error occurs when:
AThe null hypothesis is correctly accepted
BThe null hypothesis is wrongly accepted (false negative)
CThe null hypothesis is wrongly rejected (false positive)
DThere is no data
Answer & Solution
Correct answer: C. The null hypothesis is wrongly rejected (false positive)
1. Type I = false rejection of a true null hypothesis.
2. Type II = false acceptance of a false null hypothesis.
3. Hence Type I = wrongly rejecting H₀.
_Source: Trueman's UGC NET/SLET General Paper I (Manohar Pub.), 2010 — Statistical Errors_