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zubka84 [21]
2 years ago
12

Vic is standing on the ground at a point directly south of the base of the CN Tower and can see the top when looking at an angle

of elevation of 61°. Dan is standing on the ground at a point directly west of the base of the tower and must look up at an angle of elevation of 72° in order to see the top. If the CN Tower is 553.3 m tall,how far apart are Vic and Dan to the nearest meter? Include a well-labeled diagram as part of your solution.
Mathematics
1 answer:
mel-nik [20]2 years ago
7 0

Vic and Dan are 2, 897m apart.

<h3>How to determine the distance</h3>

It is important to note that the distance between Vic and Dan is the base of CN

Let's say the distance to Dan is x

The distance to Vic is y

Using cosine ratio, we have

cos α = opposite / adjacent

α = 72°

opposite = 553. 3cm

Adjacent = x

cos  72° = \frac{553. 3}{x}

Cross multiply

cos 72 × x = 553. 3

0. 3090x= 553. 3

x = \frac{553. 3}{0. 3090}

x = 1, 790. 61 m

The distance to Vic is y

Using the cosine ratio, we have

cos 60 = \frac{553. 3}{y}

Cross multiply

0. 5y = 553. 3

y = \frac{553. 3}{0. 5}

y = 1,106. 6m

To determine how far apart Vic and Dan, we use = x + y

= 1790. 61 + 1106. 6

= 2, 897. 21m

= 2, 897m

Thus, Vic and Dan are 2, 897m apart.

Learn more about bearing and distance here:

https://brainly.in/question/47782732

#SPJ1

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Answer:

e. 0.0072

Step-by-step explanation:

We are given that a bottling company uses a filling machine to fill plastic bottles with cola. And the contents vary according to a Normal distribution with Mean, μ = 298 ml and Standard deviation, σ = 3 ml .

 Let    Z = \frac{Xbar - \mu}{\frac{\sigma}{\sqrt{n} } } ~ N(0,1)  where, Xbar = mean contents of six randomly

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So, Probability that the mean contents of six randomly selected bottles is less than 295 ml is given by, P(Xbar < 295)

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4 years ago
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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}

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.

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\mu = 200, \sigma = \sqrt{400} = 20

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This probability is the pvalue of Z when X = 150. So:

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

Z = \frac{150 - 200}{20}

Z = -2.5

Z = -2.5 has a pvalue of 0.0062.

So there is a 0.62% probability that total sick leave for next month will be less than 150 hours.

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