A bag contains 20 books out of which 5 are defective. If 3 of the books are selected at random and removed from the bag in succession without replacement, then what is the probability that all three books are defective?
0.009
This problem asks for the probability of a specific sequence of events happening when selecting items from a set without replacing them. We have a bag containing 20 books, and we know that 5 of these books are defective. We are selecting 3 books one after another without putting them back into the bag.
When we select items without replacement, the total number of items available for selection decreases with each selection. Also, the number of specific items (like defective books in this case) also decreases if we select one of them. This means the probability of selecting a certain type of item changes for each draw.
We want to find the probability that the first book selected is defective, AND the second book selected is defective, AND the third book selected is also defective.
Initially, there are 20 books in total, and 5 of them are defective.
The probability of selecting a defective book first is:
\(\text{P(1st is defective)} = \frac{\text{Number of defective books}}{\text{Total number of books}} = \frac{5}{20}\)
After taking out one defective book, there are now 19 books left in total.
The number of defective books remaining is \(5 - 1 = 4\).
The probability of selecting a second defective book, given the first was defective, is:
\(\text{P(2nd is defective | 1st is defective)} = \frac{\text{Remaining defective books}}{\text{Remaining total books}} = \frac{4}{19}\)
After taking out two defective books, there are now 18 books left in total.
The number of defective books remaining is \(4 - 1 = 3\).
The probability of selecting a third defective book, given the first two were defective, is:
\(\text{P(3rd is defective | 1st and 2nd are defective)} = \frac{\text{Remaining defective books}}{\text{Remaining total books}} = \frac{3}{18}\)
The probability that all three books selected in succession without replacement are defective is the product of the probabilities of each step:
\(\text{P(All three are defective)} = \text{P(1st is defective)} \times \text{P(2nd is defective | 1st is defective)} \times \text{P(3rd is defective | 1st and 2nd are defective)}\)
\(\text{P(All three are defective)} = \frac{5}{20} \times \frac{4}{19} \times \frac{3}{18}\)
Let's simplify the fractions:
\(\frac{5}{20} = \frac{1}{4}\)
\(\frac{3}{18} = \frac{1}{6}\)
So the calculation becomes:
\(\text{P(All three are defective)} = \frac{1}{4} \times \frac{4}{19} \times \frac{1}{6}\)
Multiply the numerators and denominators:
\(\text{P(All three are defective)} = \frac{1 \times 4 \times 1}{4 \times 19 \times 6}\)
\(\text{P(All three are defective)} = \frac{4}{456}\)
We can cancel out the 4 from the numerator and the denominator:
\(\text{P(All three are defective)} = \frac{1}{114}\)
Now, we convert this fraction to a decimal:
\(\frac{1}{114} \approx 0.00877\)
Rounding this to three decimal places gives 0.009.
The calculated probability, approximately 0.009, matches one of the given options.
The final answer is 0.009.
| Concept | Description | Impact on Probability |
|---|---|---|
| Sampling Without Replacement | Items are selected from a set and not returned before the next selection. | Total number of items decreases. Number of remaining specific items decreases if one is selected. Probabilities change with each draw. |
| Conditional Probability | The probability of an event occurring given that another event has already occurred. | Used to calculate the probability of subsequent selections after initial items have been removed. |
| Multiplication Rule | The probability of multiple events occurring in sequence is the product of their individual probabilities (considering conditionality for dependent events). | Used to find the overall probability of selecting all three defective books in order. |
Alternatively, this problem can be solved using combinations, which calculates the probability of getting a specific set of items regardless of the order.
This is given by the combination formula \(\binom{n}{k} = \frac{n!}{k!(n-k)!}\).
\(\binom{20}{3} = \frac{20!}{3!(20-3)!} = \frac{20!}{3!17!} = \frac{20 \times 19 \times 18}{3 \times 2 \times 1} = 10 \times 19 \times 6 = 1140\)
This is:
\(\binom{5}{3} = \frac{5!}{3!(5-3)!} = \frac{5!}{3!2!} = \frac{5 \times 4}{2 \times 1} = 10\)
The probability of selecting 3 defective books is the ratio of the number of ways to select 3 defective books to the total number of ways to select 3 books.
\(\text{P(3 defective)} = \frac{\text{Ways to choose 3 defective}}{\text{Total ways to choose 3}} = \frac{10}{1140}\)
\(\text{P(3 defective)} = \frac{1}{114}\)
This gives the same result as the step-by-step conditional probability method, \(\approx 0.00877\), which rounds to 0.009.
Both methods confirm the probability calculation for selecting 3 defective books without replacement.
A coin is biased so that heads comes up thrice as likely as tails. In four independent tosses of the coin, what is probability of getting exactly three heads ?
Suppose that there is a chance for a newly constructed building to collapse, whether the design is faulty or not. The chance that the design is faulty is 10%. The chance that the building collapses is 95% if the design is faulty, otherwise it is 45%. If it is seen that the building has collapsed, then what is the probability that it is due to faulty design?
Two distinct natural numbers from 1 to 9 are picked at random. What is the probability that their product has 1 in its unit place?
In a class, there are n students including the students P and Q. What is the probability that P and Q sit together if seats are assigned randomly?
What is the probability that Q and U sit together?
What is the probability that boys and girls sit alternatively?
What is the probability that P and Q take the two end positions?
If the probability of simultaneous occurrence of two events A and B is p and the probability that exactly one of A, B occurs is q, then which of the following is/are correct/
1) P(A̅) + P(B̅) = 2 – 2p – q
2) P(A̅ ∩ B̅) = 1 – p – q
Select the correct answer using the code given below:
A machine has three parts, A, B and C, whose chances of being defective are 0.02, 0.10 and 0.05 respectively. The machine stops working if any one of the parts becomes defective. What is the probability that the machine will not stop working?
Two dice are thrown simultaneously and the sum of the numbers appearing on them is noted. What is the probability that the sum is 12?
If a box contains 3 white cushions, 4 red cushions and 5 blue cushions, what is the probability of selecting a white or blue cushion?
A. 2/3
B. 3/4
C. 1/4
D. 1/9Statements followed by some conclusions are given below.
Statements:
1. A bag has 2 white, 3 black, 4 red and 6 green balls.
2. 1 ball selected at random from the bag.
Conclusions:
I. The probability that a black ball is selected is 1/5
II. The probability that a red ball is selected is 6/15
Find which of the conclusions logically follows from the given statement
A. Only conclusion I follows.
B. Only conclusion II follows.
C. Both I and II follow.
D. Neither I nor II follows.
In a shooting test, the probabilities of hitting the target are 1/2 for A, 2/3 for B and 3/4 for C. If they fire at the same target, what is the probability that only one of them hits the target?
A bag contains balls numbered from 1 to 42. One ball is drawn at random from these balls. The probability that its number is a multiple of 7 or 8 is: