False positive. Type I (α) error is a false positive.

Advanced Biostatistics — NEET MDS | CrackMDS

Kaplan-Meier. Kaplan-Meier estimates survival over time.

⭐ High-Yield Facts for Exam

Type I error (α) — false positive (rejecting a true null).
Type II error (β) — false negative (accepting a false null).
Power = 1 − β (ability to detect a real effect).
Linear regression — continuous outcome; logistic regression — binary outcome.
Kaplan-Meier — survival analysis (time-to-event).
ROC curve — evaluates diagnostic test performance (sensitivity vs 1−specificity).

α = false positive; β = false negative; power = 1−β; logistic = binary; Kaplan-Meier = survival; ROC = diagnostic accuracy.

Q1. A Type I error is a:

A. False negative

B. False positive

C. True positive

D. True negative

Show Answer

✅ Answer: B

Type I (α) error is a false positive.

Q2. Statistical power equals:

A. α

B. β

C. 1 − β

D. 1 − α

Show Answer

✅ Answer: C

Power = 1 − β.

Q3. Which analysis is used for time-to-event (survival) data?

A. Linear regression

B. Kaplan-Meier

C. Chi-square

D. t-test

Show Answer

✅ Answer: B

Kaplan-Meier estimates survival over time.

📧 Get Free NEET MDS MCQs in Your Inbox

50 high-yield MCQs + mnemonics + AI study tips — completely free

No spam. Unsubscribe anytime.