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agasfer [191]
2 years ago
5

You're flying from Joint Base Lewis-McChord (JBLM) to an undisclosed location 115 km south and 112 km east. Mt. Rainier is locat

ed approximately 56 km east and 40 km south of JBLM. If you are flying at a constant speed of 800 km/hr, how long after you depart JBLM will you be the closest to Mt. Rainier?

Mathematics
1 answer:
Mars2501 [29]2 years ago
6 0

Answer:

  5 minutes 4.8 seconds

Step-by-step explanation:

We can work this problem several ways. One is to determine the component of the distance from JBLM to the mountain that is in the direction the plane is flying. We can do that by finding the dot product of the vector to the mountain with the normalized direction vector of the airplane:

  JA = JR•(JP/|JP|) . . . . . . where JR = (56, -40) and JP = (112, -115)

  = (56, -40)•(112, -115)/√(112² +115²)

  JA = 10872/√25769 ≈ 67.7268 . . . . km

__

At a speed of 800 km/h, this distance will be covered in ...

  time = distance/speed

  time = (67.7268 km)/(800 km/h) = 0.0846585 h

That's about 5 minutes, 4.8 seconds.

_____

In the attached diagram, J represents JBLM, R represents Mt. Rainier, A represents the point of closest approach, and P would represent the location of the airplane after 1 hour of flying time, (112, -115). In the above, we have used the names of these line segments/vectors.

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A distribution has a mean of 90 and a standard deviation of 15. Samples of size 25 are drawn randomly from the population. Find
raketka [301]

Answer:

The probability is 0.04746

Step-by-step explanation:

Firstly, we calculate the z-score here

Mathematically;

z-score = x-mean/SD/√n

Where from the question;

x = 85, mean = 90 , SD = 15 and n = 25

Plugging these values into the equation, we have;

Z = (85-90)/15/√25 = -5/15/5 = -1.67

So the probability we want to calculate is ;

P(z > -1.67)

We use the standard normal distribution table for this;

P(z > -1.67) = 0.04746

4 0
3 years ago
What is the equation for 5x=25?
shepuryov [24]
X= 5
multipules of 5 
thinking of the factors of 5 
5 0
3 years ago
7. A model rocket is launched from a roof into a large field. The path of the rocket can be modeled by the
svp [43]

Answer: 475.59 meters .

Step-by-step explanation:

The correct equation is the following:

y =-0 .02x^2 +9.5x + 5.6

For this exercise you need to use the Quadratic formula:

x = \frac{-b\±\sqrt{b^2-4ac}}{2a}

In this case you can identify that the values of "a", "b" and "c" are:

a=-0.02\\\\b=9.5\\\\c=5.6

Now you must substitute these values into the Quadratic formula and then evaluate. You get:

x=\frac{-9.5\±\sqrt{(9.5)^2-4(-0.02)(5.6)}}{2(-0.02)}\\\\x_1=475.588\\x_2=-0.588

Choose the positive one and round it to the nearest hundreth:

x_1\approx 475.59

4 0
2 years ago
Help help help help math math
omeli [17]
<h3>Answer:</h3>

5

<h3>Solution:</h3>
  • First, n*7 can be written as 7n.
  • Then, 7*5 is equivalent to 35.
  • So we have
  • 7n=35
  • In order to find the value of n, we need to divide both sides by 7:
  • n=5

Hope it helps.

Do comment if you have any query.

6 0
2 years ago
Read 2 more answers
A study of 420,076 cell phone users found that 131 of them developed cancer of the brain or nervous system. Prior to this study
Keith_Richards [23]

Answer:

a) 95% Confidence interval = (0.026%, 0.037%) to 3 d.p

b) The result of the 95% confidence interval does not agree with the previous rate of such cancer because the value 0.0224% does not lie within this confidence interval obtained.

Step-by-step explanation:

Confidence Interval for the population proportion is basically an interval of range of values where the true population proportion can be found with a certain level of confidence.

Mathematically,

Confidence Interval = (Sample proportion) ± (Margin of error)

Sample proportion = (131/420076) = 0.0003118483 = 0.0312%

Margin of Error is the width of the confidence interval about the mean.

It is given mathematically as,

Margin of Error = (Critical value) × (standard Error)

Critical value at 95% confidence interval for sample size of 420,076 is obtained from the z-tables because the sample size is large enough for the properties of the sample to approximate the population properties.

Critical value = 1.960 (from the z-tables)

Standard error = σₓ = √[p(1-p)/n]

n = sample size = 420,076

σₓ = √(0.0003118×0.999688/420076) = 0.0000272421 = 0.0000272

95% Confidence Interval = (Sample proportion) ± [(Critical value) × (standard Error)]

CI = 0.000312 ± (1.96 × 0.0000272)

CI = 0.000312 ± 0.0000534

95% CI = (0.0002586055, 0.0003653945)

95% Confidence interval = (0.000259, 0.000365)

95% Confidence interval = (0.0259%, 0.0365%) = (0.026%, 0.037%) to 3 d.p

b) The result of the 95% confidence interval does not agree with the previous rate of such cancer because the value 0.0224% does not lie within this confidence interval obtained.

Hope this Helps!!!

7 0
3 years ago
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