ProbabilityMCQMTP June 2023 Series IIQuestion 2827 of 295
All Questions

A machine is made of two parts A and B. The manufacturing process of each part is such that probability of defective in part A is 0.08\displaystyle 0.08 and that B is 0.05\displaystyle 0.05. What is the probability that the assembled part will not have any defect?

Options

A0.934\displaystyle 0.934
B0.864\displaystyle 0.864
C0.85\displaystyle 0.85
D0.874\displaystyle 0.874
For any discrepancies in this question, email contact@cadada.in

Correct Answer

Option d0.874\displaystyle 0.874

All Options:

  • A0.934\displaystyle 0.934
  • B0.864\displaystyle 0.864
  • C0.85\displaystyle 0.85
  • D0.874\displaystyle 0.874

Ad

Detailed Solution & Explanation

Let DA\displaystyle D_A and DB\displaystyle D_B represent the events that part A and part B are defective, respectively. 1. We are given the following defect probabilities: - P(DA)=0.08\displaystyle P(D_A) = 0.08 - P(DB)=0.05\displaystyle P(D_B) = 0.05 2. The probabilities that parts A and B are not defective are: - P(DA)=10.08=0.92\displaystyle P(D_A') = 1 - 0.08 = 0.92 - P(DB)=10.05=0.95\displaystyle P(D_B') = 1 - 0.05 = 0.95 3. Assuming the manufacturing processes of the two parts are independent, the probability that the assembled part has no defect (both parts are non-defective) is: P(No defect)=P(DA)×P(DB)=0.92×0.95=0.874P(\text{No defect}) = P(D_A') \times P(D_B') = 0.92 \times 0.95 = 0.874 Hence, **Option D** is the correct answer.

About This Chapter: Probability

Paper

Paper 3: Quantitative Aptitude

Weightage

5-7 Marks

Key Topics

Probability Operations, Expected Value

A logic-heavy chapter dealing with random experiments, events (mutually exclusive, exhaustive), set theory probability, conditional probability, and Bayes' Theorem. It forms the basis for Theoretical Distributions.

View Official ICAI Syllabus

Exam Strategy Tip

Always draw a quick Venn Diagram or tree when faced with 'At least one' or 'Only A but not B' wording. It saves you from double-counting.

Key Concepts to Understand

More Questions from Probability

Ready to Master Probability?

Practice all 295 questions with instant feedback, earn XP, track your streaks, and ace your CA Foundation exam.

Start Practicing — It's Free