A closet contains 8 pairs of shoes. If 4 shoes are chosen at random, then the probability that all the four shoes are of the same type (left or right) is:
1 / 13
This problem involves calculating the probability of a specific outcome when selecting a subset from a larger set. We are choosing 4 shoes from a closet containing 8 pairs (16 shoes total), and we want to find the probability that all 4 chosen shoes are of the same type (either all left or all right).
The total number of ways to choose 4 shoes from the 16 available shoes is given by the combination formula \(C(n, k)\), where \(n\) is the total number of items to choose from, and \(k\) is the number of items to choose. In this case, \(n=16\) and \(k=4\).
Total outcomes = \(C(16, 4)\)
The formula for \(C(n, k)\) is \(\frac{n!}{k!(n-k)!}\).
Total outcomes = \(C(16, 4) = \frac{16!}{4!(16-4)!} = \frac{16!}{4!12!}\)
\(C(16, 4) = \frac{16 \times 15 \times 14 \times 13}{4 \times 3 \times 2 \times 1} = \frac{43680}{24} = 1820\)
There are 1820 total ways to choose 4 shoes from the 16 shoes in the closet.
A favorable outcome is when all four chosen shoes are of the same type. This can happen in two mutually exclusive ways:
Let's calculate the number of ways for each case:
There are 8 left shoes. The number of ways to choose 4 left shoes from 8 is \(C(8, 4)\).
Number of ways to choose 4 left shoes = \(C(8, 4) = \frac{8!}{4!(8-4)!} = \frac{8!}{4!4!}\)
\(C(8, 4) = \frac{8 \times 7 \times 6 \times 5}{4 \times 3 \times 2 \times 1} = \frac{1680}{24} = 70\)
There are 8 right shoes. The number of ways to choose 4 right shoes from 8 is \(C(8, 4)\).
Number of ways to choose 4 right shoes = \(C(8, 4) = \frac{8!}{4!(8-4)!} = \frac{8!}{4!4!} = 70\)
Total favorable outcomes = (Ways to choose 4 left shoes) + (Ways to choose 4 right shoes)
Total favorable outcomes = \(70 + 70 = 140\)
The probability of an event is calculated as:
Probability = \(\frac{\text{Number of Favorable Outcomes}}{\text{Total Number of Possible Outcomes}}\)
Probability = \(\frac{140}{1820}\)
We can simplify the fraction by dividing the numerator and the denominator by their greatest common divisor.
\(\frac{140}{1820} = \frac{14}{182}\) (dividing by 10)
Now, we can divide by 14 (since \(14 \times 13 = 182\)).
\(\frac{14 \div 14}{182 \div 14} = \frac{1}{13}\)
The probability that all four shoes chosen are of the same type is \(\frac{1}{13}\).
| Item | Count |
|---|---|
| Total Shoes | 16 |
| Shoes to Choose | 4 |
| Total Combinations (\(C(16, 4)\)) | 1820 |
| Left Shoes | 8 |
| Right Shoes | 8 |
| Ways to choose 4 Left (\(C(8, 4)\)) | 70 |
| Ways to choose 4 Right (\(C(8, 4)\)) | 70 |
| Total Favorable Combinations | 140 |
| Probability (\(\frac{140}{1820}\)) | \(\frac{1}{13}\) |
| Concept | Description | Formula |
|---|---|---|
| Combination | The number of ways to choose a subset of items from a larger set where the order does not matter. | \(C(n, k) = \frac{n!}{k!(n-k)!}\) |
| Probability | The likelihood of a specific event occurring. | \(\frac{\text{Number of Favorable Outcomes}}{\text{Total Number of Possible Outcomes}}\) |
| Mutually Exclusive Events | Events that cannot occur at the same time. The probability of either occurring is the sum of their individual probabilities. | \(P(A \text{ or } B) = P(A) + P(B)\) |
Probability questions often involve combinations or permutations to count the number of outcomes. When the order of selection does not matter, combinations are used, as in this shoe problem. If the question asked about the order in which the shoes were picked, we would use permutations.
In this problem, we calculated the total number of ways to pick any 4 shoes and the number of ways to pick 4 shoes specifically of the same type (all left or all right). By dividing the number of favorable outcomes by the total number of outcomes, we arrived at the required probability.
Understanding the difference between combinations and permutations is crucial for solving probability problems correctly. Combinations (\(C(n, k)\)) are used for selecting items (like choosing a hand of cards or selecting a group of shoes), while permutations (\(P(n, k)\)) are used for arranging items (like arranging letters in a word or finishing positions in a race).
The chance that a software engineer will debug an error X correctly is 80%. The chance that software with the error X will crash after the correct debugging is 30%. The chance of crash of the software by wrong debugging is 70%. A software with the error X crashed. The probability that its error was debugged correctly is:
A six faced die is a biased one. It is thrice more likely to show an odd number than to show an even number. It is thrown twice. The probability that the sum of the numbers in the two throws is even is
A coin is biased so that a head is twice as likely to occur as a tail, if the coin is tossed three times, what is the probability of getting exactly two tails?
From two well shuffled pack of cards what is the probability of getting one Jack from the first one and a King from the second?
If A is an event of getting 13 by throwing two unbiased six-faced dice, then A is called
One summer, Peter visits 4 villages (A, B, C and D) in a random order. Find the probability that he visits (i) A before B (ii) A before B and B before C respectively?