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Suppose that a box contains r red balls and w white balls. Suppose also that balls are drawn from the box one at a time, at random, without replacement.\(\left( {\bf{a}} \right)\)What is the probability that all r red balls will be obtained before any white balls are obtained?\(\left( {\bf{b}} \right)\)What is the probability that all r red balls will be obtained before two white balls are obtained?

Short Answer

Expert verified

a. The probability that all r red balls will be obtained before any white balls are obtained is\(\frac{1}{{{}^{r + w}{C_r}}}\)\(\)

b. The probability that all r red balls will be obtained before two white balls are obtained is \(\frac{{r + 1}}{{{}^{r + w}{C_r}}}\)

Step by step solution

01

Given information

The box contains r red balls and w white balls.

Suppose that balls are drawn from the box one at a time, at random, without replacement.

02

Calculate the probability values

We have, r red balls and w white balls.

So, the total numbers of balls are\(r + w\).

We can choose r number of red balls from total number of balls\(r + w\)by,\({}^{r + w}{C_r}\)ways.

a.

Since there are\({}^{r + w}{C_r}\)total ways of drawing the balls, only these have the red balls first.

So, the probability of drawing all the red balls before any white ball is,\(\frac{1}{{{}^{r + w}{C_r}}}\)

b.

If we want to draw all red balls before two white balls are drawn, then all red balls must be in first\(r + 1\)draws.

There will be exactly one white ball in the first\(r + 1\)draws.

So, the probability of drawing all red balls before two whites’ balls is, \(\frac{{r + 1}}{{{}^{r + w}{C_r}}}\)

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Most popular questions from this chapter

Suppose that 100 mathematics students are dividedinto five classes, each containing 20 students, and thatawards are to be given to 10 of these students. If eachstudent is equally likely to receive an award, what is theprobability that exactly two students in each class willreceive awards?

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Suppose that a number x is to be selected from the real line S, and let A, B, and C be the events represented by the following subsets of S, where the notation\(\left\{ {x: - - - - - } \right\}\)denotes the set containing every point x for which the property presented following the colon is satisfied:

\(\begin{aligned}{}{\bf{A = }}\left\{ {{\bf{x:1}} \le {\bf{x}} \le {\bf{5}}} \right\}\\{\bf{B = }}\left\{ {{\bf{x:3 < x}} \le {\bf{7}}} \right\}\\{\bf{C = }}\left\{ {{\bf{x:x}} \le {\bf{0}}} \right\}\end{aligned}\)

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\(\begin{aligned}{l}{\bf{a}}{\bf{.}}\;{{\bf{A}}^{\bf{c}}}\\{\bf{b}}{\bf{.}}\;{\bf{A}} \cup {\bf{B}}\\{\bf{c}}{\bf{.}}\;{\bf{B}} \cap {{\bf{C}}^{\bf{c}}}\\{\bf{d}}{\bf{.}}\;{{\bf{A}}^{\bf{c}}} \cap {{\bf{B}}^{\bf{c}}} \cap {{\bf{C}}^{\bf{c}}}\\{\bf{e}}{\bf{.}}\;\left( {{\bf{A}} \cup {\bf{B}}} \right) \cap {\bf{C}}\end{aligned}\)

Consider two events A and B with Pr(A) = 0.4 and Pr(B) = 0.7. Determine the maximum and minimum possible values of \(Pr\left( {A \cap B} \right)\) and the conditions under which each of these values is attained.

Let \({A_1},{A_2}, \ldots \) be an arbitrary infinite sequence of events, and let \({B_1},{B_2}, \ldots \)be another infinite sequence of events defined as follows: \({B_1} = {A_1}\), \({B_2} = {A_1}^c \cap {A_2}\), \({B_3} = {A_1}^c \cap {A_2}^c \cap {A_3}\), \({B_4} = {A_1}^c \cap {A_2}^c \cap {A_3}^c \cap {A_4}\),…Prove that

\(\Pr \left( {\bigcup\limits_{i = 1}^n {{A_i}} } \right) = \sum\limits_{i = 1}^n {\Pr \left( {{B_i}} \right)} \)for \(n = 1,2,3, \ldots \)

and that

\(\Pr \left( {\bigcup\limits_{i = 1}^\infty {{A_i}} } \right) = \sum\limits_{i = 1}^\infty {\Pr \left( {{B_i}} \right)} \)

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