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olga_2 [115]
2 years ago
5

Help anyone i need people with the correct answerrr

Mathematics
1 answer:
Contact [7]2 years ago
5 0

Answer:

\text{area of sector} =  \frac{320\pi}{3} \text{ mi}^2

Step-by-step explanation:

Let's use the formula for the <u>area of the sector</u>:
\text{area of sector} = (\frac{\theta}{360^\circ}) \pi r^2,
where r is radius and θ the angle in degrees.

Given information:

r = 16 mi

θ = 150°

Using the formula:

\text{area of sector} = (\frac{\theta}{360^\circ}) \pi r^2 =\\\\ = (\frac{150^\circ}{360^\circ}) \pi (16\text{ mi})^2 =\\\\ = (\frac{150 \cdot 16^2}{360}) \pi \text{ mi}^2 =\\\\ = (\frac{320}{3}) \pi \text{ mi}^2 =\\\\ = \frac{320\pi}{3} \text{ mi}^2

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WILL MARK AS BRAINLIEST!!! 5. A 2011 study by The National Safety Council estimated that there are nearly 5.7 million traffic ac
Artyom0805 [142]

Answer:

Step-by-step explanation:

Hello!

Regarding the reasons that traffic accidents occur:

28% are caused by distracted drivers using cell phones or texting

11% of the drivers' user their phones at any time

The probability of a driver having an accident is 5.26%

a)

DC = event that a randomly selected driver is using a cell phone.

P(DC)= 0.11

b)

TA = event that a randomly selected driver has a traffic accident.

P(TA)= 0.0526

c) and f)

If both events are related, i.e. dependent, then you would expect that the occurrence of one of these events will affect the probability of the other one. If they are not related, i.e. independent events, then their probabilities will not be affected by the occurrence of one or another:

If both events are independent P(TA|DC)= P(TA)

If they are dependent, then:

P(TA|DC)≠ P(TA)

P(TA|DC)= 0.28

P(TA)= 0.0526

As you can see the probability of the driver having an accident given that he was using the cell phone is different from the probability of the driver having an accident. This means that both events are related.

d) and e)

You have to calculate the probability that "the driver was distracted with the phone given that he had an accident", symbolically P(DC|TA)

P(DC|TA) = \frac{P(DCnTA)}{P(TA)}

P(TA|DC)= \frac{P(TAnDC}{P(DC)} ⇒ P(DC∩TA)= P(TA|DC)*P(DC)= 0.28 *  0.11= 0.0308

P(DC|TA) = \frac{0.0308}{0.0526}= 0.585= 0.59

I hope this helps!

3 0
3 years ago
On a coordinate grid , carries house is located 3 blocks to the right and 4 blocks up from (0,0). mikes house is located 2 block
stiv31 [10]
Carries house (3,4)
mikes house (1,2)
8 0
3 years ago
Find the area of parallelogram B
Ne4ueva [31]

Answer:

6 units squared

Step-by-step explanation:

you take the squares that are split up and find another one that matches with it to make a full square

3 0
1 year ago
Read 2 more answers
(a-6)(a+6)<br> multiply polynomials show work if can
mylen [45]
(a-6)(a+6) FOIL
(a*a)+(a*6)-(6*a)+(6*6)
a²+6a-6a+36
a²+36
7 0
3 years ago
Assume that the weights of Chinook Salmon in the Columbia River are normally distributed. You randomly catch and weigh 40 such s
natali 33 [55]

Answer:

a) i) This is a right-tailed test.

b)

\text{Test statistic} = 1.08

Step-by-step explanation:

We are given the following in the question:

Population mean, μ = 23 pounds

Sample mean, \bar{x} = 23.6 pounds

Sample size, n = 40

Alpha, α = 0.10

Sample standard deviation, s = 3.5 pounds

First, we design the null and the alternate hypothesis

H_{0}: \mu = 23\text{ pounds}\\H_A: \mu > 23\text{ pounds}

This is a one tailed(right).

Formula:

\text{Test statistic} = \displaystyle\frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}} }

Putting all the values, we have

\text{Test statistic} = \displaystyle\frac{23.6 - 23}{\frac{3.5}{\sqrt{40}} } = 1.08

5 0
2 years ago
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