Karnataka 2nd PUC Maths Chapter 13, Probability, covers concepts such as sample space, events, conditional probability, independent events, multiplication theorem, total probability theorem, and Bayes’ theorem. Regular practice of different types of probability problems helps students understand how these concepts are applied in different situations.
The Karnataka 2nd PUC Maths Chapter 13 Important Questions 2027 include objective questions based on the concepts covered in the chapter. The Karnataka Mathematics CET PDF contains questions on dice, coins, playing cards, selection of objects, conditional events, independent events, and applications of different probability theorems.
Students can use these questions for revision and practise the concepts before attempting mixed questions. The PDF also includes KCET Previous Year Questions from different years, which can be used for additional practice.
Students preparing for the Karnataka 2nd PUC examination can use the Probability Important Questions PDF for focused practice. The Karnataka Government Mathematics II PUC contains chapter-wise MCQs covering Probability and includes separate sections for Conditional Probability, Independent Events, Multiplication Theorem, Total Probability Theorem, and Bayes’ Theorem.
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The chapter begins with basic concepts such as sample space and events. The PDF gives sample spaces for tossing coins and throwing dice, along with basic information about playing cards. It then moves to conditional probability, independent events, the multiplication theorem, the total probability theorem, and Bayes’ theorem.
Important topics to revise include:
Sample Space and Events
Probability of an Event
Conditional Probability
Independent Events
Multiplication Theorem of Probability
Total Probability Theorem
Bayes’ Theorem
Selection of Objects With and Without Replacement
Probability Based on Coins, Dice and Playing Cards
KCET Previous Year Questions
These topics form the basis of the 2nd PUC Probability Important Questions given in the chapter-wise.
The 1-mark questions generally focus on definitions, basic concepts, direct formula applications and simple probability situations. Students should revise the basic properties of probability before solving these questions.
Some questions from the PDF include:
Statement 1: The probability of getting a tail and a 6 is 1/12.
Statement 2: The probability of getting a tail and not 6 is 5/12.
A) Statement 1 is true, and Statement 2 is false
B) Statement 1 is true, and Statement 2 is true
C) Statement 1 is false, and Statement 2 is true
D) Statement 1 is false, and Statement 2 is false
A) 1/26
B) 1/4
C) 25/102
D) 25/104
A) 25/81
B) 16/81
C) 20/81
D) 28/153
For short-answer preparation, students should practise questions that require direct application of conditional probability and the multiplication theorem.
A) 5/66
B) 1/22
C) 5/44
D) 1/11
A) 1/3
B) 2/5
C) 1/2
D) 1/5
A) 33/56
B) 9/64
C) 1/14
D) 3/28
The longer questions in Probability require students to apply more than one concept or solve a problem through multiple steps. Questions involving the multiplication theorem, total probability, and Bayes’ theorem are useful for this type of practice.
A) 1/6
B) 2/3
C) 1/3
D) 5/6
A) 40/81
B) 20/81
C) 16/81
D) 56/153
A) 0.4
B) 0.8
C) 0.6
D) 0.2
Conditional probability deals with finding the probability of an event when information about another event is already known. The PDF contains a separate set of 50 MCQs on Conditional Probability.
Important Conditional Probability Questions include:
A) 1/10
B) 2/5
C) 9/20
D) 1/3
A) 1/18
B) 5/18
C) 1/5
D) 2/5
A) 8:5
B) 5:8
C) 2:5
D) 1:2
Students should pay particular attention to the difference between P(A|B) and P(B|A) while solving these questions.
Bayes’ theorem is used in questions where an event has occurred, and the probability of a particular cause needs to be determined. The PDF includes questions based on students, examination centres, manufacturing defects, medical tests, and other real-life situations.
Some important Bayes Theorem Questions are given below.
A) 4/5
B) 1/2
C) 1/5
D) 2/5
A) 9/28
B) 9/47
C) 18/47
D) 9/19
A) 8/69
B) 28/69
C) 18/69
D) 38/69
The chapter contains a dedicated KCET PYQs section. It includes questions from KCET 2026, 2025, 2023, 2022, 2021 and earlier years. Some of the Probability Previous Year Questions include:
A KCET 2026 question based on the probability of a child being left-handed depending on whether the parents are left-handed or right-handed.
A KCET 2026 question involving the probability that a man and his wife live after 20 years.
A KCET 2025 question involving the relationship between P(A|B) and P(B|A).
A KCET 2025 Bayes’ theorem question involving Meera visiting one of two temples and meeting her friend.
A KCET 2023 question involving a bag containing coins with different properties.
A KCET 2023 question involving the probability that a randomly selected function is onto.
The PDF also provides answer keys for the different MCQ sections, including Conditional Probability, Independent Events, Multiplication Theorem, Total Probability Theorem and Bayes’ Theorem.
Students should revise the following topics before attempting the complete question set:
Sample Space
Events
Probability of an Event
Conditional Probability
Independent Events
Multiplication Theorem of Probability
Total Probability Theorem
Bayes’ Theorem
Problems Based on Cards, Coins and Dice
Problems With and Without Replacement
KCET Previous Year Questions
The PDF begins with sample spaces for coins and dice and then progresses towards conditional probability and the major probability theorems.
Students can follow these steps while preparing Probability:
Revise the basic concepts first: Understand sample space, events, complements, union, and intersection before moving to conditional probability.
Practise one concept at a time: Complete the Conditional Probability questions first, followed by Independent Events and the Multiplication Theorem.
Focus on application-based questions: Practise questions involving cards, dice, coins, balls, and selection without replacement.
Practise Total Probability and Bayes’ Theorem separately: Identify the given events and the required probability before selecting the appropriate theorem.
Solve the MCQs without checking the answer key: Mark your answers first and then compare them with the answer key provided in the PDF.
Attempt KCET previous-year questions: Solve the PYQs after completing the concept-wise questions to practise mixed applications of Probability.
Probability becomes easier with regular practice of different types of events and numerical situations. Students should revise the basic concepts first and then practise conditional probability, independent events, multiplication theorem, total probability theorem and Bayes’ theorem.
The chapter-wise material provides MCQs, concept-based questions, Exemplar questions and KCET previous-year questions for practice. Using these questions along with the prescribed syllabus can help students strengthen their preparation for the Karnataka 2nd PUC Maths Exam 2027.