Math Problem Statement

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5.53 Defective Computer Chips A piece of electronic equipment contains six computer chips, two of which are defective. Three computer chips are randomly chosen for inspection, and the number of defective chips is recorded. Find the probability distribution for X, the number of defective computer chips. Compare your results with the answers obtained in Exercise 4.90.

Solution

The image you've uploaded contains several problems related to probability distributions. I'll help you work through each problem one by one. Let's begin with Problem 5.53, which involves defective computer chips.

Problem 5.53 Defective Computer Chips

We are given six computer chips, three of which are defective. Three chips are randomly chosen for inspection, and we are asked to find the probability distribution for the number of defective chips in the sample of three chosen.

Step 1: Defining the Random Variable

Let XX be the random variable representing the number of defective chips in the sample of 3.

  • The total number of computer chips is 6, with 3 defective ones.
  • We are choosing 3 chips randomly.

Step 2: Possible Values of XX

The possible values of XX (the number of defective chips chosen) can be 0, 1, 2, or 3.

Step 3: Computing the Probability for Each Value of XX

The probability of each outcome can be computed using combinations, since this is a hypergeometric distribution (since we are sampling without replacement). The general formula for a hypergeometric probability is:

P(X=k)=(3k)(33k)(63)P(X = k) = \frac{\binom{3}{k} \binom{3}{3-k}}{\binom{6}{3}} where:

  • (3k)\binom{3}{k} is the number of ways to choose kk defective chips from 3 defective chips.
  • (33k)\binom{3}{3-k} is the number of ways to choose the remaining chips from the 3 non-defective chips.
  • (63)\binom{6}{3} is the total number of ways to choose 3 chips from 6 chips.

Step 4: Calculating for Each kk

  • For X=0X = 0 (no defective chips): P(X=0)=(30)(33)(63)=1×120=120P(X = 0) = \frac{\binom{3}{0} \binom{3}{3}}{\binom{6}{3}} = \frac{1 \times 1}{20} = \frac{1}{20}

  • For X=1X = 1 (one defective chip): P(X=1)=(31)(32)(63)=3×320=920P(X = 1) = \frac{\binom{3}{1} \binom{3}{2}}{\binom{6}{3}} = \frac{3 \times 3}{20} = \frac{9}{20}

  • For X=2X = 2 (two defective chips): P(X=2)=(32)(31)(63)=3×320=920P(X = 2) = \frac{\binom{3}{2} \binom{3}{1}}{\binom{6}{3}} = \frac{3 \times 3}{20} = \frac{9}{20}

  • For X=3X = 3 (three defective chips): P(X=3)=(33)(30)(63)=1×120=120P(X = 3) = \frac{\binom{3}{3} \binom{3}{0}}{\binom{6}{3}} = \frac{1 \times 1}{20} = \frac{1}{20}

Step 5: Final Probability Distribution

The probability distribution for the number of defective chips XX is:

P(X=0)=120,P(X=1)=920,P(X=2)=920,P(X=3)=120P(X = 0) = \frac{1}{20}, \quad P(X = 1) = \frac{9}{20}, \quad P(X = 2) = \frac{9}{20}, \quad P(X = 3) = \frac{1}{20}

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Math Problem Analysis

Mathematical Concepts

Probability
Hypergeometric Distribution
Combinations

Formulas

P(X = k) = (C(3, k) * C(3, 3-k)) / C(6, 3)

Theorems

Hypergeometric Distribution

Suitable Grade Level

Grades 9-12