/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q8E If 10 percent of the balls in a ... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

If 10 percent of the balls in a certain box are red, and if 20 balls are selected from the box at random, with replacement, what is the probability that more than three red balls will be obtained?

Short Answer

Expert verified

The probability that more than 3 red balls are obtained is 0.133.

Step by step solution

01

Given information

The number of balls that are selected from the box with replacement is \(n = 20\). The probability that a randomly selected ball in the box is red is \(p = 0.10\).

The balls are collected with replacement.

02

Compute the probability

Let X be the random variable representing the number of red balls in 20 draws.

In the given scenario, the random variable X will follow the binomial distribution as the trials are independent with fixed trials.

The probability function of a binomial distribution is given as,

\(f\left( x \right) = \left\{ \begin{array}{l}\left( \begin{array}{l}n\\x\end{array} \right){p^x}{\left( {1 - p} \right)^{n - x}}\;\;for\;x = 0,1,...,n,\\0\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;\;otherwise\end{array} \right.\)

For probability of success p in each trial and n fixed trials.

The probability that more than 3 red balls are obtained is computed as,

\(\begin{aligned}{}P\left( {X > 3} \right)& = 1 - P\left( {X \le 3} \right)\\ &= 1 - \left( {P\left( {X = 0} \right) + P\left( {X = 1} \right) + ... + P\left( {X = 3} \right)} \right)\\ &= 1 - \left( {\left( \begin{aligned}{l}20\\0\end{aligned} \right){{\left( {0.10} \right)}^0}{{\left( {1 - 0.10} \right)}^{20 - 0}} + \left( \begin{aligned}{}20\\1\end{aligned} \right){{\left( {0.10} \right)}^1}{{\left( {1 - 0.10} \right)}^{20 - 1}} + ... + \left( \begin{aligned}{l}20\\3\end{aligned} \right){{\left( {0.10} \right)}^3}{{\left( {1 - 0.10} \right)}^{20 - 3}}} \right)\\ &= 1 - \left( {0.12158 + 0.27017 + ... + 0.19012} \right)\\ \approx 0.133\end{aligned}\)

Therefore, the probability that more than 3 red balls are obtained is 0.133.

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 91Ó°ÊÓ!

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

Suppose that \({{\bf{X}}_{\bf{1}}}\;{\bf{and}}\;{{\bf{X}}_{\bf{2}}}\)are i.i.d. random variables andthat the p.d.f. of each of them is as follows:

\({\bf{f}}\left( {\bf{x}} \right){\bf{ = }}\left\{ \begin{array}{l}{{\bf{e}}^{{\bf{ - x}}}}\;\;\;\;\;\;{\bf{for}}\;{\bf{x > 0}}\\{\bf{0}}\;\;\;\;\;\;\;\;{\bf{otherwise}}\end{array} \right.\)

Find the p.d.f. of \({\bf{Y = }}{{\bf{X}}_{\bf{1}}} - {{\bf{X}}_{\bf{2}}}\)

Suppose that an electronic system comprises four components, and let\({X_j}\)denote the time until component j fails to operate (j = 1, 2, 3, 4). Suppose that\({X_1},{X_2},{X_3}\)and\({X_4}\)are i.i.d. random variables, each of which has a continuous distribution with c.d.f.\(F\left( x \right)\)Suppose that the system will operate as long as both component 1 and at least one of the other three components operate. Determine the c.d.f. of the time until the system fails to operate.

Question:In example 3.5.10 verify that X and Y have the same Marginal pdf and that

\({f_1}\left( x \right) = \left\{ \begin{array}{l}2k{x^2}\frac{{{{\left( {1 - {x^2}} \right)}^{\frac{2}{3}}}}}{3} for - 1 \le x \le 1\\0 \,\,\,\,\,\,\,\,\,\,\,\,\,\,otherwise\end{array} \right.\) .

Suppose that\({{\bf{X}}_{\bf{1}}}\)and\({{\bf{X}}_{\bf{2}}}\)are i.i.d. random variables, and that each has the uniform distribution on the interval[0,1]. Evaluate\({\bf{P}}\left( {{{\bf{X}}_{\bf{1}}}^{\bf{2}}{\bf{ + }}{{\bf{X}}_{\bf{2}}}^{\bf{2}} \le {\bf{1}}} \right)\)

Question:Prove Theorem 3.5.6.

Let X and Y have a continuous joint distribution. Suppose that

\(\;\left\{ {\left( {x,y} \right):f\left( {x,y} \right) > 0} \right\}\)is a rectangular region R (possibly unbounded) with sides (if any) parallel to the coordinate axes. Then X and Y are independent if and only if Eq. (3.5.7) holds for all\(\left( {x,y} \right) \in R\)

See all solutions

Recommended explanations on Math 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.