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nydimaria [60]
3 years ago
14

On a map, 1 inch represents 20 miles. The distance between two towns is 6 whole number 1/5 inches. How many miles are actually b

etween the towns?
Mathematics
1 answer:
ValentinkaMS [17]3 years ago
3 0

Answer:

124 miles.

Step-by-step explanation:

From the question given above, the following data were obtained:

1 in = 20 miles

6 1/5 in =?

Next, we shall express 6 1/5 in decimal for easy calculation . This can be obtained as follow:

6 1/5 = 31 / 5

6 1/5 = 6.2 in

Finally, we shall convert 6.2 in to miles. This can be obtained as follow:

1 in = 20 miles

Therefore,

6.2 in = 6.2 in × 20 miles / 1 in

6.2 in = 124 miles

Thus, 6 1/5 in is equivalent to 124 miles.

Therefore, there are 124 miles between the two towns.

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The annual salaries of employees in a large company are approximately normally distributed with a mean of $50,000 and a standard
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Answer:

a) 30.85% of people earn less than $40,000

b) 37.21% of people earn between $45,000 and $65,000.

c) 15.87% of people earn more than $70,000

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 = 50000, \sigma = 20000

a.What percent of people earn less than $40,000?

This is the pvalue of Z when X = 40000. So

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

Z = \frac{40000 - 50000}{20000}

Z = -0.5

Z = -0.5 has a pvalue of 0.3085.

30.85% of people earn less than $40,000

b.What percent of people earn between $45,000 and $65,000?

This is the pvalue of Z when X = 65000 subtracted by the pvalue of Z when X = 45000. So

X = 65000

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Z = \frac{65000 - 50000}{20000}

Z = 0.75

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X = 45000

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

Z = \frac{45000 - 50000}{20000}

Z = -0.25

Z = -0.25 has a pvalue of 0.4013.

0.7734 - 0.4013 = 0.3721

37.21% of people earn between $45,000 and $65,000.

c.What percent of people earn more than $70,000?

This is 1 subtracted by the pvalue of Z when X = 70000. So

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

Z = \frac{70000 - 50000}{20000}

Z = 1

Z = 1 has a pvalue of 0.8413.

1 - 0.8413 = 0.1587

15.87% of people earn more than $70,000

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