Home
Class 12
MATHS
A box contains 100 bulbs out of which 10...

A box contains 100 bulbs out of which 10 are defective. A sample of 5 bulbs is drawn. The probability that none is defective , is

A

`10^(-5)`

B

`2^(-5)`

C

`(0.9)^5`

D

`0.9`

Text Solution

AI Generated Solution

The correct Answer is:
To solve the problem step by step, we need to calculate the probability that none of the 5 bulbs drawn from a box of 100 bulbs (10 of which are defective) are defective. ### Step-by-Step Solution: 1. **Identify the Total and Defective Bulbs:** - Total bulbs = 100 - Defective bulbs = 10 - Non-defective bulbs = Total bulbs - Defective bulbs = 100 - 10 = 90 2. **Determine the Probability of Selecting a Non-defective Bulb:** - The probability of selecting a non-defective bulb (success) is: \[ P(\text{non-defective}) = \frac{\text{Number of non-defective bulbs}}{\text{Total number of bulbs}} = \frac{90}{100} = 0.9 \] 3. **Calculate the Probability of Selecting 5 Non-defective Bulbs:** - Since we are drawing 5 bulbs, and we want all of them to be non-defective, we can use the formula for the probability of independent events: \[ P(\text{none defective}) = P(\text{non-defective})^5 = (0.9)^5 \] 4. **Compute \( (0.9)^5 \):** - Calculate \( 0.9^5 \): \[ 0.9^5 = 0.59049 \] 5. **Final Answer:** - The probability that none of the 5 bulbs drawn is defective is approximately: \[ P(\text{none defective}) \approx 0.59049 \]
Promotional Banner

Topper's Solved these Questions

  • PROBABILITY

    ARIHANT MATHS ENGLISH|Exercise Exercise (Single Option Correct Type Questions)|29 Videos
  • PROBABILITY

    ARIHANT MATHS ENGLISH|Exercise Probability Exercise 1: Single Option Single Correct Type Question|1 Videos
  • PROBABILITY

    ARIHANT MATHS ENGLISH|Exercise Exercise For Session 3|10 Videos
  • PERMUTATIONS AND COMBINATIONS

    ARIHANT MATHS ENGLISH|Exercise Exercise (Questions Asked In Previous 13 Years Exam)|28 Videos
  • PRODUCT OF VECTORS

    ARIHANT MATHS ENGLISH|Exercise Exercise (Questions Asked In Previous 13 Years Exam)|51 Videos

Similar Questions

Explore conceptually related problems

A box contains 10 bulbs, of which just three are defective. If a random sample of five bulbs is drawn , find the probabilities that the sample contains: Exactly one defective bulb. Exactly two defective bulbs. No defective bulbs.

A box contains 100 bulbs 20 of which are defective. 10 bulbs are selected for inspection. Find the probability that: i. all 10 are defective ii. all 10 are good ii. at least one is defective iv. none is defective.

A box contains 150 bulbs out of which 15 are defective. It is not possible to just look at a bulb and tell whether or not it is defective. One bulb is taken out at random from this box. Calculate the probability that the bulb taken out is : (ii) a defective one.

A box contains 150 bulbs out of which 15 are defective. It is not possible to just look at a bulb and tell whether or not it is defective. One bulb is taken out at random from this box. Calculate the probability that the bulb taken out is : (i) a good one

A box contains 13 bulbs out of which 5 are defective. 3 bulbs are randomly drawn, one by one without replacement, from the box. Find the probability distribution of the number of defective bulbs.

It is given that 10% of the electric bulbs manufactured by a company are defective. In a sample of 20 bulbs, find the probability that more than 2 are defective.

Three electric bulbs are chosen at random from 15 bulbs of which 5 are defective. The probability that atleast one is defective is

A box contains 100 pens of which 10 are defective. What is the probability that out of a sample of 5 pens drawn one by one with replacement at most one is defective? a. (9/(10))^5 b. 1/2(9/(10))^4 c. 1/2(9/(10))^5 d. (9/(10))^5+1/2(9/(10))^4

In a box containing 100 bulbs, 10 are defective. The probability that out of a sample of 5 bulbs, none is defective is (A) 10-1 (B) (1/2)^5 (C) (9/(10))^5 (D) 9/(10)

From a lot of 10 bulbs, which includes 3 defectives, a sample of 2 bulbs is drawn at random. Find the probability distribution of the number of defective bulbs.