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galben [10]
3 years ago
6

Please help. Thank you

Mathematics
1 answer:
erastova [34]3 years ago
3 0

Answer:

(1, -12)

Step-by-step explanation:

x is the horizontal axis and y is the vertical axis.

The current coordinates of D are (-5, -2).

Translated...

D = (-5 + 6, -2 - 10)

D = (1, -12)

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The proportion of traffic fatalities resulting from drivers with high alcohol blood levels in 1982 was approximately normally di
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a) The proportion of states would you expect to have more than 65% of their traffic fatalities from drunk driving is 0.59518.

b) The 25th percentile of this distribution is a 0.5231 proportion of deaths due to drunk driving.

Step-by-step explanation:

Problems of normally distributed samples can be 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}

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 percentile of this measure.

In this problem, we have that:

Mean 0.569 and standard deviation 0.068. So \mu = 0.569, \sigma = 0.068

a. What proportion of states would you expect to have more than 65% of their traffic fatali- ties from drunk driving?

This is the value of X when Z has a pvalue of 0.65.

Z has a pvalue of 0.65 between Z = 0.38 and Z = 0.39. So, we use Z = 0.385

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

0.385 = \frac{X - 0.569}{0.068}

X - 0.569 = 0.068*0.385

X = 0.59518

The proportion of states would you expect to have more than 65% of their traffic fatalities from drunk driving is 0.59518.

b. What proportion of deaths due to drunk driving would you expect to be at the 25th percentile of this distribution?

This is the value of X when Z has a pvalue of 0.25.

Z has a pvalue of 0.65 between Z = -0.67 and Z = -0.68. So, we use Z = -0.675

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

-0.675 = \frac{X - 0.569}{0.068}

X - 0.569 = 0.068*(-0.675)

X = 0.5231

The 25th percentile of this distribution is a 0.5231 proportion of deaths due to drunk driving.

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