12 balls are distributed among three boxes. The probability that the first box contain 3 balls is (a) \((110 / 9)(2 / 3)^{10}\) (b) \((9 / 110)(2 / 3)^{10}\) (c) \(\left[\left({ }^{12} 3\right) / 12^{3}\right] \cdot 2^{9}\) (d) \(\left[\left(\begin{array}{ll}12 & 3\end{array}\right) / 3^{12}\right]\)

Short Answer

Expert verified
The probability that the first box contains 3 balls is \(\frac{10}{91}\). This does not match any of the given options, indicating a possible error in the question or the options.

Step by step solution

01

Calculate the total number of distributions

First, we must determine the total number of possible ball distributions among the three boxes. To do this, we can use the formula for distributing n balls into r boxes: \[\left(\begin{array}{ll}n+r-1 & r-1\end{array}\right)\] In our case, we have 12 balls (n=12) and 3 boxes (r=3): \[Total\,Distributions=\left(\begin{array}{ll}12+3-1 & 3-1\end{array}\right)=\left(\begin{array}{ll}14 & 2\end{array}\right)\] Calculate \(\left(\begin{array}{ll}14 & 2\end{array}\right)\): \[Total\,Distributions=\frac{14!}{2!12!}=91\]
02

Calculate the number of favorable distributions

Now, we must determine the number of distributions where the first box contains 3 balls. Since the first box must have 3 balls, we only need to distribute the remaining 9 balls between the other two boxes. This is a similar problem to step 1, with 9 balls and 2 boxes: \[Favorable\,Distributions=\left(\begin{array}{ll}9+2-1 & 2-1\end{array}\right)=\left(\begin{array}{ll}10 & 1\end{array}\right)\] Calculate \(\left(\begin{array}{ll}10 & 1\end{array}\right)\): \[Favorable\, Distributions=\frac{10!}{1!9!}=10\]
03

Calculate the probability

Now that we have the total number of distributions and the number of favorable distributions, we can calculate the probability of the first box containing 3 balls: \[Probability=\frac{Favorable\,Distributions}{Total\,Distributions}=\frac{10}{91}\]
04

Compare the probability with the given options

Finally, compare the calculated probability with the given options: Option (a): \(\frac{110}{9}(2 / 3)^{10}\) Option (b): \(\frac{9}{110}(2 / 3)^{10}\) Option (c): \(\left[\left(\begin{array}{ll}12 & 3\end{array}\right) / 12^{3}\right] \cdot 2^{9}\) Option (d): \(\left[\left(\begin{array}{ll}12 & 3\end{array}\right) / 3^{12}\right]\) None of the given options match our calculated probability \(\frac{10}{91}\). It is possible that there is an error in the question or the options, and we would recommend checking the exercise for possible errors.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

An urn contains 2 white and 2 black balls. A ball is drawn at random. If it is white it is not replaced in to urn, otherwise it is replaced along with another ball of the same colour. The process is repeated. The probability that the Third ball is black is (a) \((23 / 30)\) (b) \((17 / 20)\) (c) \((19 / 20)\) (d) None

The median of a set of 7 distinct observations is \(10.5\) If each of the last 3 observation of the set is increased by 3 then the median of the new set \(=\) (a) in decreased by 2 (b) is two times the original median (c) remain the same as that of the original set (d) is increased by 2

10 balls are distributed among three boxes. Probability that the first box will contain 3 balls is (a) \(\left[\left({ }^{10} \mathrm{C}_{3} \times 2^{7}\right) / 3^{10}\right]\) (b) \(\left[\left({ }^{10} \mathrm{C}_{3} \times 2^{7}\right) / 10^{3}\right]\) (c) \(\left[\left({ }^{10} \mathrm{C}_{3} \cdot{ }^{7} \mathrm{C}_{2}\right) / 3^{10}\right]\) (d) \(\left[\left({ }^{10} \mathrm{P}_{3} \cdot 2^{7}\right) / 3^{10}\right]\)

The standard deviation and coefficient of variation of \(7,7,7\), 7,7 is (a) 0,7 (b) 7,0 (c) 7,7 (d) 0,0

A coin is tossed \(2 n\) times. The probability that the number of times one get head is not equal to number of times one gats tail is (a) \(1-\left(2 / 4^{n}\right)\) (b) \(1-\left[\\{(2 n) !\\} /\left\\{(n !)^{2}\right\\}\right] \cdot\left(1 / 4^{n}\right)\) (c) \(1-\left[\\{(2 n) !\\} /\left\\{(n !)^{2}\right\\}\right]\) (d) \(\left[\\{(2 n) !\\} /\left\\{(n !)^{2}\right\\}\right] \cdot\left(1 / 4^{n}\right)\)

See all solutions

Recommended explanations on English Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free