Independence in Small Samples from Large

Chapter 5, Problem 39E

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QUESTION:

Independence in Small Samples from Large Populations Suppose that a computer chip company has just shipped 10,000 computer chips to a computer company. Unfortunately, 50 of the chips are defective.

Compute the probability that two randomly selected chips are defective using conditional probability.

There are 50 defective chips out of 10,000 shipped. The probability that the first chip randomly selected is defective is \(\frac{50}{10,000}=0.005=0.5 \%\) Compute the probability that two randomly selected chips are defective under the assumption of independent events. Compare your results to part (a). Conclude that, when small samples are taken from large populations without replacement, the assumption of independence does not significantly affect the probability.

Equation Transcription:

Text Transcription:

\frac{50}{10,000}=0.005=0.5 \%

Questions & Answers

QUESTION:

Independence in Small Samples from Large Populations Suppose that a computer chip company has just shipped 10,000 computer chips to a computer company. Unfortunately, 50 of the chips are defective.

Compute the probability that two randomly selected chips are defective using conditional probability.

There are 50 defective chips out of 10,000 shipped. The probability that the first chip randomly selected is defective is \(\frac{50}{10,000}=0.005=0.5 \%\) Compute the probability that two randomly selected chips are defective under the assumption of independent events. Compare your results to part (a). Conclude that, when small samples are taken from large populations without replacement, the assumption of independence does not significantly affect the probability.

Equation Transcription:

Text Transcription:

\frac{50}{10,000}=0.005=0.5 \%

ANSWER:

Solution:

Step 1 of 3:

A computer chip company has just shipped 10,000 chips.

Fifty of the chips are defective.

  1. We have to compute the probability that two randomly selected chips are defective using conditional probability.
  2. We have to find the probability that two randomly selected chips are defective under the assumption of independent events, we also want to compare the result with part (a).

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