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UkoKoshka [18]
3 years ago
7

This week in school, there is a 75 percent probability of having a fire drill, a 50 percent probability of a tornado drill, and

a 25 percent probability of having both drills. Let event F be a fire drill and event T be a tornado drill. Are the two events independent?
Mathematics
2 answers:
Sphinxa [80]3 years ago
7 0
For E2020 users, the correct answer is A (No,<span>because </span>P<span>(F ∩ T) ≠ </span>P<span>(F) • </span>P<span>(T).)</span>
ArbitrLikvidat [17]3 years ago
7 0

Answer with Step-by-step explanation:

The events A and B are called independent if:

P(A∩B)=P(A)×P(B)

We are given that:

This week in school, there is a 75 percent probability of having a fire drill,

a 50 percent probability of a tornado drill,

and a 25 percent probability of having both drills.

Let event F be a fire drill and event T be a tornado drill.

P(F)=0.75

P(T)=0.50

P(F∩T)=0.25

P(F)×P(T)=0.375≠P(F∩T)

Hence, events F and T are not independent

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Answer:

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Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:

\mu = 4.9, \sigma = 1.4

(a) the thickness is less than 3.0 mm

This is the pvalue of Z when X = 3.

Z = \frac{X - \mu}{\sigma}

Z = \frac{3 - 4.9}{1.4}

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0.0869 = 8.69% probability that the thickness is less than 3.0 mm

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This is 1 subtracted by the pvalue of Z when X = 7. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{7 - 4.9}{1.4}

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Z = 1.5 has a pvalue of 0.9332

1 - 0.9332 = 0.0668

0.0668 = 6.68% probability that the thickness is more than 7.0 mm

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