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Suppose that you just received a shipment of six televisions and two are defective. If two televisions are randomly selected, compute the probability that both televisions work. What is the probability that at least one does not work?

Short Answer

Expert verified
\( P(\text{both work}) = \frac{2}{5} \). \( P(\text{at least one does not work}) = \frac{3}{5} \).

Step by step solution

01

- Understand the total number of televisions and defective ones

There are six televisions in total, and out of these, two are defective. Therefore, there are 4 televisions that work properly.
02

- Compute the total number of ways to choose 2 televisions out of 6

The number of ways to choose 2 televisions from 6 is given by the combination formula \(_{n}C_{k} = \frac{n!}{k!(n-k)!}\). Here, \( n=6 \) and \( k=2 \). Thus, the total ways, \( \binom{6}{2} = \frac{6!}{2!(6-2)!} = 15 \).
03

- Compute the number of ways to choose 2 working televisions out of 4

The number of ways to choose 2 working televisions from 4 is given by \( \binom{4}{2} = \frac{4!}{2!(4-2)!} = 6 \).
04

- Calculate the probability that both selected televisions work

The probability that both selected televisions work can be calculated using the formula \( \frac{ \text{Number of favorable outcomes} }{ \text{Total number of outcomes} } = \frac{6}{15} = \frac{2}{5} \).
05

- Calculate the probability that at least one television does not work

The probability that at least one television does not work is the complement of both televisions working. Hence, \( P(\text{at least one does not work}) = 1 - P(\text{both work}) = 1 - \frac{2}{5} = \frac{3}{5} \).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Combinatorics
Combinatorics is a field of mathematics focused on counting and arranging objects. In the context of the TV selection problem, we use combinatorics to determine how many ways we can choose a certain number of televisions from the total.

The key formula used here is the combination formula, denoted as \(_{n}C_{k} \). This formula helps us find out how many ways we can select \(k\) objects out of \(n\) without considering the order of selection.
For our exercise, we need \(_{6}C_{2} \) for choosing 2 TVs out of 6, which is calculated as:

\[\binom{6}{2} = \frac{6!}{2!(6-2)!} = 15 \]
The '!' symbol represents factorial, which means product of all positive integers up to that number. So, 6! = 6×5×4×3×2×1.

Using these combinations, we pinpoint exactly how many total ways and how many successful ways are there to pick, giving us the odds or probabilities we need.
Complement Rule
The complement rule in probability is a powerful way to understand probabilities of events that are opposite or 'complementary' to each other.
To put it simply, if an event A is what we are interested in, then the complement of A, denoted \( A^c \), is everything that is not A.

For example, in our TV problem, if event A is 'both selected TVs work', then the complement of event A, \( A^c \), is 'at least one TV does not work'. Using this complement relationship helps us easily find probabilities without computing separately.

Using our problem's specifics:
  • Probability that both TVs work: \(\frac{2}{5} \)

  • Complement event: At least one TV does not work.

  • Using the complement rule: \(P(A^c) = 1 - P(A) = 1 - \frac{2}{5} = \frac{3}{5} \)
So, the probability that at least one TV is defective is \( \frac{3}{5} \).
Favorable Outcomes
In probability, favorable outcomes are the specific results which satisfy the event we're interested in. Determining these outcomes takes us a step closer to finding the overall probability.

In the TV selection example, we focused on the event that both chosen TVs are working.
  • Out of six TVs, we know four are working.

  • Using combinatorics, we calculated \( \binom{4}{2} = 6 \) as the number of ways to choose 2 working TVs from 4. These are our favorable outcomes for the event 'both TVs work'.

  • For the total possible outcomes, choosing any 2 TVs from 6 was \( 15 \).

  • The probability formula becomes: \(\frac{\text{Number of favorable outcomes}}{\text{Total number of outcomes}} = \frac{6}{15} = \frac{2}{5} \)
Here, favorable outcomes focused on the probability of getting both working TVs out of our random selection, helping clarify different scenario possibilities.

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Most popular questions from this chapter

In a recent Harris Poll, a random sample of adult Americans (18 years and older) was asked, "When you see an ad emphasizing that a product is 'Made in America,' are you more likely to buy it, less likely to buy it, or neither more nor less likely to buy it?" The results of the survey, by age group, are presented in the following contingency table. $$ \begin{array}{lrrrrr} & \mathbf{1 8 - 3 4} & \mathbf{3 5 - 4 4} & \mathbf{4 5 - 5 4} & \mathbf{5 5 +} & \text { Total } \\ \hline \text { More likely } & 238 & 329 & 360 & 402 & \mathbf{1 3 2 9} \\ \hline \text { Less likely } & 22 & 6 & 22 & 16 & \mathbf{6 6} \\ \hline \begin{array}{l} \text { Neither more } \\ \text { nor less likely } \end{array} & 282 & 201 & 164 & 118 & \mathbf{7 6 5} \\ \hline \text { Total } & \mathbf{5 4 2} & \mathbf{5 3 6} & \mathbf{5 4 6} & \mathbf{5 3 6} & \mathbf{2 1 6 0} \end{array} $$ (a) What is the probability that a randomly selected individual is 35-44 years of age, given the individual is more likely to buy a product emphasized as "Made in America"? (b) What is the probability that a randomly selected individual is more likely to buy a product emphasized as "Made in America," given the individual is \(35-44\) years of age? (c) Are 18 - to 34 -year-olds more likely to buy a product emphasized as "Made in America" than individuals in general?

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