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hager Group Title

A manufacturer of batteries knows that 10% of the batteries produced by a particular production line are defective. A sample of 200 batteries is removed for testing. a) What is the probability that exactly 20 batteries in the sample are defective? b) What is the probability that at least 20 batteries in the sample are defective?

  • one year ago
  • one year ago

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  1. hager Group Title
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    help p/zzzzzzz

    • one year ago
  2. kropot72 Group Title
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    a) The binomial distribution can be used to find the required probability as follows: \[P(exactly\ 20\ defective)=\left(\begin{matrix}200 \\ 20\end{matrix}\right)0.1^{20}(1-0.1)^{180}=you\ can\ calculate\]

    • one year ago
  3. kropot72 Group Title
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    @hager I also used the hypergeometric distribution assuming a production run of 1000 batteries containing 100 defectives and a sample size of 200. The result was very close to the probability calculated using the binomial distribution.

    • one year ago
  4. kropot72 Group Title
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    @hager Please ask if you need more explanation.

    • one year ago
  5. hager Group Title
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    thnx so much I'm trying to work on it but still i didn't get it

    • one year ago
  6. kropot72 Group Title
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    What result do you get when you calculate using the numbers for the binomial distribution that I gave above?

    • one year ago
  7. hager Group Title
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    i couldn't do it

    • one year ago
  8. hager Group Title
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    320

    • one year ago
  9. kropot72 Group Title
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    The result of the calculation is 0.0936

    • one year ago
  10. hager Group Title
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    how

    • one year ago
  11. kropot72 Group Title
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    The calculation of the binomial coefficient is as follows: \[\left(\begin{matrix}200 \\20 \end{matrix}\right)=\frac{200!}{20!180!}=1.613588\times 10^{27}\] Then continuing the calculation: \[1.613588\times 10^{27}\times (0.1)^{20}\times (1-0.1)^{180}=0.0936\] So the probability of exactly 20 batteries in the sample being defective = 0.0936

    • one year ago
  12. hager Group Title
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    thnx so much i really appreciate that!!!

    • one year ago
  13. kropot72 Group Title
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    You're welcome :)

    • one year ago
  14. hager Group Title
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    help for b?

    • one year ago
  15. kropot72 Group Title
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    I am looking at it. Please wait.

    • one year ago
  16. kropot72 Group Title
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    When the sample size is large (200 batteries in this case) and the probability of a defective is neither small nor near 1, the binomial distribution can be approximated by the normal distribution with mean np where n is the sample size and p is the probability of a defective. In this case np = 200 * 0.1 = 20 Therefore the probability of at least 20 batteries in the sample being defective is half the area under the distribution curve = 0.5.

    • one year ago
  17. hager Group Title
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    thnx

    • one year ago
  18. kropot72 Group Title
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    You're welcome :)

    • one year ago
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