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Natali [406]
4 years ago
5

On a coordinate plane, triangle A B C is shown. Point A is at (3, 4), point B is at (negative 5, negative 2), and point C is at

(5, negative 2). In the diagram, AB = 10 and AC = 2 StartRoot 10 EndRoot. What is the perimeter of △ABC? 10 units 10 + 2 StartRoot 10 EndRoot units 20 units 20 + 2 StartRoot 10 EndRoot units
Mathematics
2 answers:
AfilCa [17]4 years ago
7 0

Answer:

its d on e2020

Step-by-step explanation:

hodyreva [135]4 years ago
6 0

Answer:

The perimeter of Δ ABC is 20 + 2\sqrt{10} units ⇒ Last answer

Step-by-step explanation:

The perimeter of any triangle is the sum of the lengths of its three sides

The formula of distance between two points is d=\sqrt{(x_{2}-x_{1})^{2}+(y_{2}-y_{1})^{2}}

In Δ ABC

∵ A = (3 , 4) , B = (-5 , -2) , C = (5 , -2)

∵ AB = 10 units

∵ AC = 2\sqrt{10}

- To find its perimeter find the length of BC

∵ x_{1} = -5 and y_{1} = -2

∵ x_{2} = 5 and y_{2} = -2

- By using the formula above

∴ BC=\sqrt{(5--5)^{2}+(-2--2)^{2}}=\sqrt{(5+5)^{2}+(-2+2)^{2}}

∴ BC=\sqrt{(10)^{2}+(0)^{2}}=\sqrt{100}

∴ BC = 10 units

To find the perimeter add the lengths of the three sides

∵ P = AB + BC + AC

∴ P = 10 + 10 + 2\sqrt{10}

- Add like terms

∴ P = 20 + 2\sqrt{10}

The perimeter of Δ ABC is 20 + 2\sqrt{10} units

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Ask Your Teacher The level of nitrogen oxides (NOX) in the exhaust after 50,000 miles or fewer of driving of cars of a particula
Georgia [21]

Answer:

The level is L = 0.084

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

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.

Central limit theorem:

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}

In this problem, we have that:

\mu = 0.08, \sigma = 0.01, n = 36, s = \frac{0.01}{\sqrt{36}} = 0.0017

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4 0
4 years ago
Jett has a large empty container, as shown below.
Marrrta [24]

Answer:

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Step-by-step explanation:

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6 0
3 years ago
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Please help me thank you
Lunna [17]

Answer:

      418

Sn = ∑ 3 +4(n-1)

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Step-by-step explanation:

3,7,11,15,.....1671

a1 =3

d = 4  (7-3=4)

an = a1 + d(n-1)

an = 3 +4(n-1)

We need to determine the last term

1671 = 3 +4(n-1)

Subtract 3

1671-3 = 3-3 +4(n-1)

1668 = 4(n-1)

divide by 4

1668/4 = 4(n-1)/4

417 = n-1

Add 1 to each side

418 = n

      418

Sn = ∑ a1 +d(n-1)

     n=1

      418

Sn = ∑ 3 +4(n-1)

     n=1

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