SSC CGL Statistics – Probability Theory – Level 1 · Warm-up
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Answer: 16. 2⁴ = 16.
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SSC CGL Statistics – Probability Theory – Level 1 · Warm-up – 12 questions, subject: Statistics (Tier II Paper II). Every question has the correct answer with a one-line explanation; tap "Show Answer". Free practice for TNPSC, UPSC, SSC, Bank and RRB exams – Shanmugam IAS Academy, Coimbatore.
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1.
The probability of an impossible event is:
Correct Answer: D [0]
Explanation:
The impossible event is the empty set: P(∅) = 0.
2.
A coin is tossed three times. The probability of getting exactly two heads is:
Correct Answer: C [3/8]
Explanation:
HHT, HTH, THH – 3 of the 8 outcomes.
3.
Two dice are rolled. The probability that the two numbers differ by exactly 2 is:
Correct Answer: A [2/9]
Explanation:
(1,3), (2,4), (3,5), (4,6) and their reverses: 8 of 36 = 2/9.
4.
One card is drawn from a well-shuffled pack of 52. The probability that it is a face card (J, Q or K) is:
Correct Answer: B [3/13]
Explanation:
Answer: 3/13. 12 face cards → 12/52 = 3/13.
5.
The odds against an event are 5 : 3. Its probability is:
Correct Answer: C [3/8]
Explanation:
Against a : b → P = b/(a + b) = 3/8.
6.
If P(A) = 0.35, then P(not A) is:
Correct Answer: D [0.65]
Explanation:
Answer: 0.65. 1 − 0.35 = 0.65.
7.
A and B are mutually exclusive with P(A) = 0.3 and P(B) = 0.45. P(A ∪ B) is:
Correct Answer: A [0.75]
Explanation:
Answer: 0.75. Exclusive → just add: 0.75.
8.
A and B are independent with P(A) = 0.6 and P(B) = 0.5. P(A ∩ B) is:
Correct Answer: B [0.3]
Explanation:
Answer: 0.3. 0.6 × 0.5 = 0.3.
9.
Statement-basedWhich of the following is/are correct?
I. Mutually exclusive events cannot occur together.
II. Exhaustive events together cover the whole sample space.
I. Mutually exclusive events cannot occur together.
II. Exhaustive events together cover the whole sample space.
Correct Answer: D [Both I and II]
Explanation:
Answer: Both I and II. Both are the definitions.
10.
Match the followingMatch the approach with its idea:
P. Classical Q. Relative frequency R. Axiomatic S. Bayes' theorem
1. three axioms of Kolmogorov 2. revising probabilities after evidence 3. favourable ÷ equally likely outcomes 4. long-run proportion f/N
P. Classical Q. Relative frequency R. Axiomatic S. Bayes' theorem
1. three axioms of Kolmogorov 2. revising probabilities after evidence 3. favourable ÷ equally likely outcomes 4. long-run proportion f/N
Correct Answer: B [P-3, Q-4, R-1, S-2]
Explanation:
Classical m/n; frequency f/N; axiomatic – Kolmogorov; Bayes – revision.
11.
Fill in the blankP(A ∣ B) = P(A ∩ B) ÷ ______, provided it is not zero.
Correct Answer: C [P(B)]
Explanation:
Conditioning on B makes B the new sample space.
12.
How many outcomes are there in the sample space when four coins are tossed?
Correct Answer: A [16]
Explanation:
Answer: 16. 2⁴ = 16.
➤ Full notes, shortcuts and every answer explained – SSC CGL 2026 Statistics (Tier II Paper II) book (₹149): www.shanmugamiasacademy.in/study-materials/ssc-cgl-statistics
📘 SSC CGL 2026 – Statistics (Tier II Paper II)
Here you get the answer with a one-line explanation. 657 original questions with worked answers · notes, formulas, figures and statistical tables (z, t, χ², F) · practice sets + 3 mock tests
Get the book – ₹149 More quizzes
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