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A company makes auto batteries. They claim that 86% of their LL70 batteries are good for 70 months or longer. Assume that this claim is true. Let p be the proportion in a random sample of 80 such batteries For a populations that are good for 70 months or more.

What is the probability that this sample proportion is within 0.03 of the population proportion?

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Answer:

The probability that the sample proportion of 80 LL70 batteries is within 0.03 of the population proportion is 0.44

Explanation:

Sample proportion being within margin, or margin of error (ME) around the mean can be found using the formula

ME=
(z*√(p*(1-p)))/(√(N) ) where

  • z is the corresponding statistic of the probability that the sample proportion is within the 0.03 of the population proportion
  • p is the claimed proportion (86% or 0.86)
  • N is the sample size (80)

Then 0.03=
(z*√(0.86*0.14))/(√(80) ) from this we get:

z≈0.773 and the p(z)≈0.439

Therefore, the probability that the sample proportion is within 0.03 of the population proportion is 0.44

User Ben Avery
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