Mathematics • Class 11
Probability - Class 11
Master Probability — Fundamentals through focused practice that strengthens conceptual understanding, problem-solving skills, and the ability to recognize common traps and misconceptions. Explore challenging questions designed to develop deeper reasoning and confident application of key ideas.
Overview
This chapter introduces Probability, covering the basic rules, conditional probability, and Bayes' theorem. Learn to analyze random events and calculate probabilities effectively.
Why This Chapter Matters
- Probability is a cornerstone of mathematics, crucial for understanding uncertainty and risk in various fields such as finance, science, and engineering. It provides tools for decision-making based on data and randomness.
Real-Life Applications
- Predicting outcomes in finance, such as stock market trends and insurance risks.
- Analyzing experimental results in scientific research.
- Making decisions in situations involving uncertainty in everyday life.
Skills You Will Learn
- Understanding basic probability rules and concepts.
- Applying conditional probability and Bayes' theorem.
- Solving problems involving random experiments and probability distributions.
Core Concepts to Master
Sample Space Construction
Differentiating between outcomes that are equiprobable versus those that are not; identifying hidden constraints in set definitions.
Axiomatic Probability Constraints
Rigorous application of Kolmogorov’s axioms where P(S)=1 and P(A) is within [0,1]; vital for impossible event detection.
Algebra of Events
Mapping set-theoretic operations (Union, Intersection, Complement) to logical connectives (OR, AND, NOT) in real-world scenarios.
Mutually Exclusive vs Independent
Crucial distinction: Mutually Exclusive implies P(A∩B)=0; Independent implies P(A∩B)=P(A)P(B). Confusing these is the primary failure point.
Equiprobability Fallacy
Assuming outcomes are equally likely when they are not, often triggered by biased dice or non-random selection processes.
Combinatorial Counting (P&C Integration)
Mastery of permutations vs combinations in probability; selecting order-dependent vs order-independent sets of outcomes.
Complementary Counting
Using 1-P(A') to simplify complex problems; essential when calculating 'at least one' type probability problems.
Conditional Probability Foundations
Understanding the reduction of the sample space; P(A|B) requires shifting the denominator to the condition B.
Multiplication Theorem
Applying P(A∩B) = P(A)P(B|A) in sequential events where the second event depends on the outcome of the first.
De Morgan’s Laws in Probability
Transforming complex negation statements like 'neither A nor B' into union/intersection forms for easier calculation.
Inclusion-Exclusion Principle
Correct calculation for P(A∪B∪C) avoiding double counting intersections between multiple non-mutually exclusive events.
Exhaustive Events Concept
Ensuring the sum of probabilities of a partition equals 1; common trap in multi-stage game theory problems.
Random Variable Mapping
Assigning numerical values to qualitative outcomes; the transition point to probability distributions in higher math.
Symmetry and Invariance
Using rotational or reflectional symmetry in sample spaces to eliminate tedious counting; a hallmark of high-ranker intuition.
Indicator Function Logic
Using binary 0/1 variables to represent event occurrence, simplifying expected value calculations in complex series.
Concept Collisions Used by Examiners
Competitive examinations rarely assess concepts in isolation. Instead, examiners intentionally combine multiple concepts from this and related chapters to create higher-order questions that test conceptual reasoning, analytical thinking, and problem-solving ability. The concept collision patterns below represent the combinations most frequently used while designing questions for this chapter.
Exam Coverage
Understand how this chapter is tested across major competitive examinations.
JEE Advanced
India · Competitive Exam · Undergraduate
JEE Main
India · Competitive Exam · Undergraduate
BITSAT
India · Competitive Exam · Undergraduate
IISER Aptitude Test (IAT)
India · Competitive Exam · Undergraduate
NEST
India · Competitive Exam · Undergraduate
ISI Admission Test
India · Competitive Exam · Undergraduate
CMI Entrance
India · Competitive Exam · Undergraduate
IOQM / INMO
India · Olympiad · High School
SAT Math
United States · Curriculum · High School
A-Level Mathematics
United Kingdom · Curriculum · Advanced Level
A-Level Further Mathematics
United Kingdom · Curriculum · Advanced Level
IB Mathematics AA HL
International · Curriculum · IB Diploma
Singapore A-Level Mathematics
Singapore · Curriculum · Advanced Level
Cambridge International A-Level Mathematics
International · Curriculum · Cambridge
International Mathematical Olympiad (IMO)
International · Olympiad · International
Practice Questions
Strengthen your understanding by solving carefully selected questions from this chapter.
Let and . Find the total number of bijective functions satisfying the following two conditions:
- for all .
- The image set is closed under the binary operation .
Let be a continuous random variable with probability density function for and otherwise. Let be the event that the random variable satisfies the inequality: Find the probability of event , .
Let be defined on its maximal domain where the base is strictly positive. Let and . A sample space is defined as the set of discrete points . If three distinct elements are chosen at random from , what is the probability that exactly one of them belongs to ?
Let be the set of all ordered triplets of non-negative integers such that . The sample space is defined as the subset of for which the expression is a well-defined real number. If a triplet is chosen uniformly at random from , what is the probability that ?
In a geometric probability model, the probability of an event is given by the formula , where denotes the scalar triple product . Let , , and . If is an integer, what is the sum of all possible values of for which satisfies the axioms of probability?
A continuous random variable takes values in the interval . Its probability density function is given by , where is a positive constant and What is the variance of ?
Let and be two events associated with a random experiment. The probability of event is given by , where is the matrix: for some real constants . Event is defined as the event that a number chosen at random from the sample space satisfies the inequality: Find the value of .
Let . Let be the region in defined by the system of inequalities: , , and . A point is chosen uniformly at random from . Let be the event that the vector also lies in . Find the probability of the event .
A biased coin with probability of showing heads is tossed times independently. Let be the event that the first toss shows heads, and be the event that the total number of heads obtained in the tosses is either or . If and are independent events, then the value of is:
Let be three events in a probability space such that and are mutually exclusive. The events and are independent, and and are independent. Given that , , and . Let be the probability that exactly one of the events occurs, and be the probability that exactly two of the events occur. The value of is:
Let f(x) = \\begin{cases} ax + b & \\text{if } x \\ge 0 \\\\ cx^2 + d & \\text{if } x < 0 \\end{cases} and . A 4-tuple is chosen uniformly at random from the set . Let be the event that the composite function is continuous at , and be the event that is differentiable at . Which of the following statements is correct?
Let be the set of all diagonal matrices whose principal diagonal elements are chosen from the set . Two matrices and are chosen randomly and independently from with replacement. Let be the event that and be the event that . The probability is equal to
Let be a set containing 5 distinct elements. Let be the family of all subsets of having an even number of elements, and be the family of all subsets of having an odd number of elements. A random sample of 16 subsets is chosen without replacement from the power set of . Let be the event that the sample contains an even number of subsets from , and be the event that the sample contains an even number of subsets from . What is the probability of ?
Four identical balls are distributed randomly into three distinct boxes, such that each ball is independently placed into any of the boxes with equal probability. Let be the probability that the first box is empty, and be the probability that the first box contains exactly two balls. Find the sum of all integers that satisfy the inequality:
Urn contains red balls and black balls. Urn contains red balls and black ball, where is an integer. An urn is selected by rolling a fair standard die. If the die shows a number less than 3, Urn is chosen; otherwise, Urn is chosen. A ball is drawn at random from the selected urn and is found to be red. Given that the drawn ball is red, the probability that it came from Urn is . Find the sum of all possible valid values of .
Let be three non-coplanar vectors such that the volume of the parallelepiped formed by them is . A point with position vector is chosen uniformly at random inside this parallelepiped. What is the volume of the region consisting of all such points for which line segments of lengths and can form an acute-angled triangle?
A discrete random variable takes values in the set . The probability mass function of is given by where and are real constants, and denotes the signum function. If the expected value of is , then the probability is equal to
Let be the word in the dictionary of all unique permutations of the letters . A fair 6-sided die has its faces marked with the letters . A 6-letter word is generated by rolling this die 6 times and recording the letters in the order they appear. What is the probability that is a permutation of the letters of , and has the same starting letter and the same ending letter as ?
Let and . Find the number of surjective functions such that .
Let . Find the number of matrices with entries from such that , where is the complex conjugate of .
A light ray travels along the line and intersects a series of parallel glass plates. The surfaces of the plates lie on the planes for . Let the intersection points of the ray with these planes be respectively. A subset of 7 points is to be chosen from these 40 points such that the spatial distance between the orthogonal projections of any two chosen points on the plane is at least 39. Find the number of ways to choose these 7 points.
Let be a matrix defined as where . Find the number of distinct quadruplets such that .
Let be a function continuous and differentiable on , where are real constants and . Let be the set of all integers such that the equation has exactly 3 distinct real roots. For each , a bag is prepared containing red balls and black balls, where is the number of non-negative integer solutions to the equation . A bag is selected at random (all bags in are equally likely to be chosen), and two balls are drawn from it without replacement. If both balls are red, let be the probability that they were drawn from bag . Find the value of .
Let . Let and . If all elements of are arranged randomly in a row to form a sequence, what is the probability that at least two elements of are adjacent?
Let and be three independent events. A matrix is defined as: Let be the matrix obtained by swapping the 2nd and 3rd columns of . If , find the probability that at least one of the events or occurs.
Let be the region in the first octant bounded by the coordinate planes and the tangent plane to the surface at the point on the surface closest to the origin. A point is chosen uniformly at random from . Let . If is the event that the absolute minimum value of is at most , find the probability of .
Let be the exponent of the highest power of dividing , and be the exponent of the highest power of dividing . A subset is chosen at random from the power set of . The probability that the number of elements in is strictly greater than is . Then is equal to:
Let be the continuous solution to the differential equation satisfying . Let be the sum of the -coordinates of all points of inflection of the curve . Three fair six-sided dice are rolled, and their outcomes are used as the coordinates of a point in 3D space. Let be the plane . Find the probability that the perpendicular distance from to the plane is strictly greater than 1.
Let . A number is chosen at random from . Three bags and are available. Bag is selected if . Bag is selected if and . Bag is selected if . The contents of the bags are as follows: contains 2 Red and 3 Black balls, contains 3 Red and 2 Black balls, and contains 4 Red and 1 Black ball. A ball is drawn at random from the selected bag and is found to be Red. What is the probability that the chosen number is a prime number?
Six distinct balls are distributed randomly into four distinct boxes. Let be the event that no box is empty, and be the event that Box 1 and Box 2 contain an equal number of balls. The conditional probability is:
A system has two states, and . It can undergo two types of transition protocols, and . Under protocol , a system in transitions to with probability and remains in with probability . A system in remains in with probability . Under protocol , a system in remains in with probability . A system in transitions to with probability and remains in with probability . A fair coin is tossed. If it shows Heads, the system undergoes the sequence of protocols in that order. If it shows Tails, the system undergoes the sequence in that order. Given that the system initially starts in state and is found to be in state after the four protocols are completed, what is the probability that the coin showed Heads?
A unit vector is chosen uniformly at random in . Let be a plane passing through the origin with a fixed normal vector . Let be the orthogonal projection of onto the plane . Consider the triangle whose vertices are the origin , and the points and such that and . Let be the event that the area of triangle is at most , and be the event that . Find the conditional probability .
A real number is chosen uniformly at random from the interval . Let be the event that satisfies the inequality . Let be the event that . Find the conditional probability .
A system undergoes three sequential state transitions from state 0 to state 3. For a parameter , the probability of transitioning from state 0 to state 1 is , from state 1 to state 2 is , and from state 2 to state 3 is . Let be the probability that the system successfully reaches state 3 from state 0.
Three points in 3D space have position vectors: Let be the volume of the tetrahedron formed by the origin and the points with position vectors .
Find the value of .
Let be the set of all matrices of the form , where . A matrix is chosen at random from . Let be the probability that is non-singular.
Consider the matrix and let .
Find the value of .
Let and be independent continuous random variables, each having the probability density function defined on the interval by: Let be the event that the quadratic equation has real roots, and be the event that the quadratic equation has real roots. Find the probability of the event .
Let be the horizontal asymptote of the curve as . Two boxes contain mathematical expressions. Box I contains the expression and Box II contains the expression . A fair coin is tossed. If it shows heads, Box I is selected; if tails, Box II is selected. Then, an integer is chosen at random from the set . What is the probability that the coefficient of in the expression of the selected box is strictly greater than ?
Let and be three events in a sample space such that , , , , , , and . Let be a matrix such that its determinant is given by . If , find the value of .
A real number is chosen uniformly at random from the interval . Let . Let be the event that and be the event that . Find the probability of the event .
Let be a set of 10 points in 3D space consisting of the 4 vertices and the 6 edge midpoints of a regular tetrahedron. Four points are chosen at random from . Let be the event that the 4 chosen points are coplanar, and be the event that no three of the chosen points are collinear. Find the probability of the event .
Let be a continuous random variable with the probability density function: Let and be events defined by and . Calculate the probability .
Let be a continuous random variable with probability density function , where are real constants. What is the maximum possible value of the expected value ?
Let be a sample space equipped with a valid probability measure . Consider the events , , and . It is given that , and are pairwise independent events and . What is the value of ?
Let be a probability vector such that for and . Consider the skew-symmetric matrix and the column vector . If satisfies the system of linear equations , then the value of is:
Three independent trials are performed. In each trial, a fair die is rolled. If the die shows a multiple of , a success is recorded. Let such that the variable takes the value if the corresponding trial (1st, 2nd, 3rd) is a success, and if it is a failure. Consider the vectors , , and . Let be the event that the volume of the parallelepiped formed by is exactly . Given that event has occurred, what is the probability that the acute angle between the planes containing the pairs of vectors and is ?
Four married couples (8 distinct people) are to be seated around a circular table. Let be the number of arrangements in 8 distinct, numbered chairs such that no couple sits diametrically opposite to each other. Let be the number of arrangements in 8 identical, unnumbered chairs (where arrangements are identical if they differ only by rotation) such that exactly one couple sits diametrically opposite to each other. Find the value of .
An experiment has a countably infinite sample space . The probability of each elementary event is given by where and are positive constants. If , then the probability of the event is:
A real number is chosen uniformly at random from the interval . Let be the event that , and be the event that , where denotes the greatest integer function. The probability of the event is:
Let be the sample space of all positive integer solutions to the equation . A solution is chosen at random from . Let be the event that can form the side lengths of a triangle (including degenerate triangles where the vertices are collinear). Let be the event that can form the side lengths of a non-degenerate triangle (with positive area). Find the conditional probability .
Let be a random variable following the binomial distribution . Evaluate the sum:
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