1. Power companies severely trim trees growing near their lines to avoid power failures due to fallin limbs in storms. Applying a chemical to slow the growth of the trees is cheaper than trimming, but t chemical kills some of the trees. Suppose that one such chemical would kill 20% of sycamore trees The power company tests the chemical on 250 sycamores. Consider this a SRS from the populatio of all sycamore trees. Calculate the probability that less than 24% of the tress in the sample are

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1. Power companies severely trim trees growing near their lines to avoid power failures due to falling
limbs in storms. Applying a chemical to slow the growth of the trees is cheaper than trimming, but the
chemical kills some of the trees. Suppose that one such chemical would kill 20% of sycamore trees.
The power company tests the chemical on 250 sycamores. Consider this a SRS from the population
of all sycamore trees. Calculate the probability that less than 24% of the tress in the sample are
killed. (Hint: Shape, Center, Spread, Curve, Calculations, Conclusion....)
Transcribed Image Text:1. Power companies severely trim trees growing near their lines to avoid power failures due to falling limbs in storms. Applying a chemical to slow the growth of the trees is cheaper than trimming, but the chemical kills some of the trees. Suppose that one such chemical would kill 20% of sycamore trees. The power company tests the chemical on 250 sycamores. Consider this a SRS from the population of all sycamore trees. Calculate the probability that less than 24% of the tress in the sample are killed. (Hint: Shape, Center, Spread, Curve, Calculations, Conclusion....)
Expert Solution
Step 1

Given Information:

Sample size (n) = 250

Proportion = 20% = 0.20

To calculate the probability that less than 24% of the trees in the sample are killed:

Mean μp^=0.20

Standard deviation of sample proportion is calculated as follows:

σp^=p^1-p^n=0.201-0.20250=0.16250=0.025298221280.0253

Z-score is a measure which tells how many standard deviations away, a data value is, from the mean. It is given by the formula:

z=X-μσ

 

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