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IIFT Probability & Statistics — practice questions

Explore 15 free Probability & Statistics questions in IIFT Quantitative Aptitude. Open each question or exercise to read its content, reference answers and available explanation.

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Probability & Statistics questions and exercises with answers

Showing questions 1–15 of 15.

The sample space of a single throw of a fair six-faced die isRead the answer and worked solution →If a fair coin is tossed once, the probability of getting a HEAD isRead the answer and worked solution →A fair die is rolled. The probability of getting an ODD number isRead the answer and worked solution →Two fair dice are rolled. The probability that the SUM of the numbers showing is 7 isRead the answer and worked solution →For any two events $A$ and $B$, the probability of $A \cup B$ (A or B) is given byRead the answer and worked solution →A card is drawn from a well-shuffled standard deck of 52 cards. The probability of drawing a KING isRead the answer and worked solution →A fair die is rolled. The probability of getting a PRIME number isRead the answer and worked solution →Three fair coins are tossed simultaneously. The probability of getting EXACTLY two heads isRead the answer and worked solution →A card is drawn from a standard deck of 52. The probability that it is a KING or a QUEEN isRead the answer and worked solution →If $P(A) = 0.4$ and $P(B) = 0.5$ and $P(A \cap B) = 0.2$, then $P(A \cup B)$ isRead the answer and worked solution →What is the probability that a randomly drawn card from a 52-card deck is a FACE CARD (King, Queen, or Jack)?Read the answer and worked solution →Two events $A$ and $B$ are MUTUALLY EXCLUSIVE ifRead the answer and worked solution →Two fair coins are tossed. The probability of getting AT LEAST ONE head isRead the answer and worked solution →If the probability that a student passes a CAT mock test is $0.6$, what is the probability that the student FAILS?Read the answer and worked solution →If sin θ = 3/5 and θ is acute, then cos θ =Read the answer and worked solution →

Worked practice questions

The sample space of a single throw of a fair six-faced die is

  1. $\{1, 2, 3, 4, 5, 6\}$
  2. $\{0, 1, 2, 3, 4, 5\}$
  3. $\{2, 4, 6\}$
  4. $\{1, 3, 5\}$
Show answer and solution

Correct answer: A. $\{1, 2, 3, 4, 5, 6\}$

1. Your syllabus: the sample space $S$ is the set of ALL possible outcomes of a random experiment. 2. A six-faced die can land on faces showing $1, 2, 3, 4, 5,$ or $6$. 3. So $S = \{1, 2, 3, 4, 5, 6\}$. 4. Option B starts at 0 — not how dice work. Option C is the EVEN-face subset; Option D is the ODD-face subset. Neither is the full sample space. _Source: syllabus Mathematics, Ch 14 "Probability", §14.1 (Sample space), p. 1._

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If a fair coin is tossed once, the probability of getting a HEAD is

  1. $0$
  2. $1$
  3. $1/4$
  4. $1/2$
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Correct answer: D. $1/2$

1. For a fair coin, the sample space is $S = \{H, T\}$ with each outcome equally likely. 2. Probability of an event $E$ for equally-likely outcomes: $P(E) = \dfrac{|E|}{|S|}$. 3. Here $E = \{H\}$, $|E| = 1$, $|S| = 2$. So $P(E) = 1/2$. 4. Probabilities always lie in $[0, 1]$: option A (0) means impossible event; option C (1) means certain event. 5. Option D ($1/4$) would correspond to TWO coin tosses both being heads, not one. _Source: syllabus Mathematics, Ch 14, §14.2.2 (Probability of equally likely outcomes), p. 7._

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A fair die is rolled. The probability of getting an ODD number is

  1. $1/6$
  2. $1/3$
  3. $1/2$
  4. $2/3$
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Correct answer: C. $1/2$

1. Sample space: $S = \{1, 2, 3, 4, 5, 6\}$, with 6 equally likely outcomes. 2. Event 'odd number': $E = \{1, 3, 5\}$, with $|E| = 3$ outcomes. 3. $P(E) = 3/6 = 1/2$. 4. Equivalently, half the outcomes are odd → probability is $1/2$, an intuitive answer. 5. Option A is for ONE specific number (like $P(\text{rolling 5}) = 1/6$). Option B is for two specific values out of six. **Option D is the probability of NOT being odd (i.e., being even), which is the same $1/2$ — but we're asked for odd, not even.** _Source: syllabus Mathematics, Ch 14, §14.2.2 (Equally likely outcomes — die examples), p. 7–8._

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