Home
Class 12
MATHS
A sample of 2 itmes is selected at rando...

A sample of 2 itmes is selected at random from a bag containing 5 items of which 2 are defective. Then mean of number of defective items is

A

`(4)/(5)`

B

`(1)/(5)`

C

`(2)/(5)`

D

`(3)/(5)`

Text Solution

AI Generated Solution

The correct Answer is:
To find the mean of the number of defective items when a sample of 2 items is selected at random from a bag containing 5 items (2 of which are defective), we can follow these steps: ### Step 1: Define the Random Variable Let \( X \) be the random variable representing the number of defective items in the sample of 2 items selected from the bag. The possible values of \( X \) are 0, 1, or 2. ### Step 2: Calculate the Total Number of Ways to Select 2 Items The total number of ways to select 2 items from 5 items is given by the combination formula: \[ C(5, 2) = \frac{5!}{2!(5-2)!} = \frac{5 \times 4}{2 \times 1} = 10 \] ### Step 3: Calculate the Probability of Each Case 1. **Case 1: No defective items (X = 0)** - Number of ways to choose 2 non-defective items from 3: \[ C(3, 2) = \frac{3!}{2!(3-2)!} = \frac{3 \times 2}{2 \times 1} = 3 \] - Probability: \[ P(X = 0) = \frac{C(3, 2)}{C(5, 2)} = \frac{3}{10} \] 2. **Case 2: One defective item (X = 1)** - Number of ways to choose 1 defective item from 2 and 1 non-defective item from 3: \[ C(2, 1) \times C(3, 1) = 2 \times 3 = 6 \] - Probability: \[ P(X = 1) = \frac{6}{10} = \frac{3}{5} \] 3. **Case 3: Two defective items (X = 2)** - Number of ways to choose 2 defective items from 2: \[ C(2, 2) = 1 \] - Probability: \[ P(X = 2) = \frac{1}{10} \] ### Step 4: Calculate the Mean of the Random Variable The mean (expected value) \( E(X) \) is calculated using the formula: \[ E(X) = \sum (X_i \cdot P(X_i)) \] Substituting the values we found: \[ E(X) = 0 \cdot P(X = 0) + 1 \cdot P(X = 1) + 2 \cdot P(X = 2) \] \[ E(X) = 0 \cdot \frac{3}{10} + 1 \cdot \frac{3}{5} + 2 \cdot \frac{1}{10} \] \[ E(X) = 0 + \frac{3}{5} + \frac{2}{10} \] \[ E(X) = \frac{3}{5} + \frac{1}{5} = \frac{4}{5} \] ### Final Answer The mean of the number of defective items is \( \frac{4}{5} \). ---
Promotional Banner

Similar Questions

Explore conceptually related problems

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

From a lot containing 25 items, 5 of which are defective, 4 are, chosen at random. Let X be the number of defectives found. Obtain the probability distribution of X if the items are chosen without replacement.

There are 10 defective bulbs in a group of 100 bulbs. If a sample of 8 bulbs are selected at random then find the probability that: (i) in this sample 3 bulbs are defective and 5 are non-defective. (ii) in this sample at least one bulb is defective.

3 bulbs are chosen at random from 20 bulbs , out of which 4 are defective . The probability that the room is illuminated will be

Ared box contains eight itmes, of which three are defective, and a blue box contains five itmes, of which two are defective. An item is drawn at random from each box. What is the probability that both items will be nondefective?

A red box contains eight items , of which three are defective, and a blue box contains five items, of which two are defective . An item is drawn at random from each box. What is the probability that one item is defective and one is not ?

A bag has contains 23 balls in which 7 are identical . Then number of ways of selecting 12 balls from bag.

From a log of 6 items containing 2 defective items, a sample of 4 items are drawn at random. Let the random variable X denote the number of defective items in the sample. If the sample is drawn without replacement, find : (a) The probability distribution of X. (b) Mean of X. (c ) Variance of X.

From a lot of 10 items containing 3 defectives, a sample of 4 items id drawn at random. Let the random variable X denote the number of defective items in the sample. If the sample is drawn randomly, find (i) the probability distribution of X (ii) P(Xlt=1) (iii) P(X<1) (iv) P(0

Suppose 3 bulbs are selected at random from a lot. Each bulb is tested and classified as defective (D) or non – defective (N). Write the sample space of this experiment.