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Ksju [112]
2 years ago
14

An island is 3 mi due north of its closest point along a straight shoreline. You are staying at a cabin on the shore that is 7 m

i west of that point. You are planning to go from the cabin to the island. Suppose you run at a rate of 9 mph and row at a rate of 5 mph. How far should you run (in miles) before rowing to minimize the time it takes to reach the island

Mathematics
1 answer:
Korvikt [17]2 years ago
6 0

Answer:

  5.00 miles

Step-by-step explanation:

Let x represent the distance in miles you should run. Then the distance you will be rowing is ...

  √(3² +(7-x)²)

and your total travel time in hours is ...

  t = x/9 + √(3² +(7-x)²)/5

This is minimized when its derivative with respect to x is zero.

  \dfrac{dt}{dx}=0=\dfrac{1}{9}+\dfrac{-2(7-x)}{5\cdot 2\sqrt{3^2+(7-x)^2}}\\\\0=\dfrac{5\sqrt{x^2-14x+58}+9(x-7)}{45\sqrt{x^2-14x+58}}

This will be zero when the numerator is zero, so ...

  0 = 5\sqrt{x^2-14x+58}+9(x-7)\\\\25(x^2-14x+58)=81(x^2-14x+49) \quad\text{subtract $9(x-7)$ and square}\\\\56x^2-784x+2519=0 \quad\text{write in standard form}

Solving this quadratic by your favorite method gives ...

  x ≈ 4.996 . . . . . . there is an extraneous solution at x ≈ 9

You should run 5.00 miles before rowing in order to minimize the time to reach the island.

_____

<em>Generic solution</em>

For travel speeds <em>a</em> and <em>b</em>, where <em>a</em> < <em>b</em> and <em>b</em> represents the speed along the shore, the distance from the point nearest the island is given by <em>tan(arcsin(a/b))</em> times the distance to the island.

Here, that is (3 mi)(tan(arcsin(5/9)) ≈ 2.004 miles. Since we're running from a point 7 miles from the point nearest the island, our running distance is 7 -2.004 = 4.996 miles.

If the starting point is less than the distance computed above, then the shortest time path is a straight line to the island.

In short, the travel angle from a line perpendicular to shore is given by arcsin(a/b).

This same solution works for problems involving laying pipeline, walking through woods, or any other scenario where there is an optimal straight-line path to a point where the cost changes.

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"An ordinance requiring that a smoke detector be installed in all previously constructed houses has been in effect in a particul
Galina-37 [17]

Answer:

a) Probability that the claim is rejected when the actual value of p is 0.8 = P(X ≤ 15) = 0.0173

b) Probability of not rejecting the claim when p = 0.7, P(X > 15) = 0.8106

when p = 0.6, P(X > 15) = 0.4246

c) Check Explanation

The error probabilities are evidently lower when 15 is replaced with 14 in the calculations.

Step-by-step explanation:

p is the true proportion of houses with smoke detectors and p = 0.80

The claim that 80% of houses have smoke detectors is rejected if in a sample of 25 houses, not more than 15 houses have smoke detectors.

If X is the number of homes with detectors among the 25 sampled

a) Probability that the claim is rejected when the actual value of p is 0.8 = P(X ≤ 15)

This is a binomial distribution problem

A binomial experiment is one in which the probability of success doesn't change with every run or number of trials (probability that each house has a detector is 0.80)

It usually consists of a number of runs/trials with only two possible outcomes, a success or a failure (we are sampling 25 houses with each of them either having or not having a detector)

The outcome of each trial/run of a binomial experiment is independent of one another.

Binomial distribution function is represented by

P(X = x) = ⁿCₓ pˣ qⁿ⁻ˣ

n = total number of sample spaces = 25 houses sampled

x = Number of successes required = less than or equal to 15

p = probability of success = probability that a house has smoke detectors = 0.80

q = probability of failure = probability that a house does NOT have smoke detectors = 1 - p = 1 - 0.80 = 0.20

P(X ≤ 15) = Sum of probabilities from P(X = 0) to P(X = 15) = 0.01733186954 = 0.01733

b) Probability of not rejecting the claim when p= 0.7 when p= 0.6

For us not to reject the claim, we need more than 15 houses with detectors, hence, th is probability = P(X > 15), but p = 0.7 and 0.6 respectively for this question.

n = total number of sample spaces = 25 houses sampled

x = Number of successes required = more than 15

p = probability that a house has smoke detectors = 0.70, then 0.60

q = probability of failure = probability that a house does NOT have smoke detectors = 1 - p = 1 - 0.70 = 0.30

And 1 - 0.60 = 0.40

P(X > 15) = sum of probabilities from P(X = 15) to P(X = 25)

When p = 0.70, P(X > 15) = 0.8105639765 = 0.8106

When p = 0.60, P(X > 15) = 0.42461701767 = 0.4246

c) How do the "error probabilities" of parts (a) and (b) change if the value 15 in the decision rule is replaced by 14.

The error probabilities include the probability of the claim being false.

When X = 15

(Error probability when p = 0.80) = 0.0173

when p = 0.70, error probability = P(X ≤ 15) = 1 - P(X > 15) = 1 - 0.8106 = 0.1894

when p = 0.60, error probability = 1 - 0.4246 = 0.5754

When X = 14

(Error probability when p = 0.80) = P(X ≤ 14) = 0.00555

when p = 0.70, error probability = P(X ≤ 14) = 0.0978

when p = 0.60, error probability = P(X ≤ 14) = 0.4142

The error probabilities are evidently lower when 15 is replaced with 14 in the calculations.

Hope this Helps!!!

6 0
2 years ago
What is the probability that a point chosen at random in the triangle is also in the blue square? A blue square inside of an uns
Dmitrij [34]

Answer:

One-third

Step-by-step explanation:

we know that

The probability that a point chosen at random in the triangle is also in the blue square is equal to divide the area of the square by the area of triangle

step 1

Determine the area of triangle

A=\frac{1}{2}(9)(6)=27\ in^2

step 2

Determine the area of the square

A=(3^2)=9\ in^2

step 3

Determine the probability

P=\frac{9}{27}

simplify

P=\frac{1}{3}

therefore

One-third

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Put the following numbers in order from least to greatest: -3.15, 3.3, -3 1/5, -3.3
Bas_tet [7]
-3.15, -3.3,-3 1/5,3.3,
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Yuliya22 [10]
First, you need to put them in order
53kg, 55kg, 61kg, 61kg, 76kg, 91kg, 98kg, 105kg, 120kg

For mean, you add them all up and divide by the amount of numbers (9)
720/9 = 80

For median, you find the middle number (76kg)

For mode, you find the number that appears the most (61kg)

Mean: 80
Median: 76
Mode: 61
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2 years ago
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The answers to the question would be number 2, number 3, and number 5
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