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disa [49]
3 years ago
8

In triangle ABC, m_A = 55°, m B = 30°, and a = 8. Which equation should you solve to find b?

Mathematics
1 answer:
Ganezh [65]3 years ago
8 0

Answer:

B) sin55/8 = sin30/b

Step-by-step explanation:

Just did it on AP3X :)

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Natasha_Volkova [10]

Answer:

16

Step-by-step explanation:

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4 years ago
Noah has 5 cards and Sofia has 3 times that but Jack has 5 times that what is the amount that jack has
mojhsa [17]

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75

Step-by-step explanation:

5 0
3 years ago
Suppose that the age that children learn to walk is normally distributed with mean 12 months and standard deviation 1 month. 19
Gnesinka [82]

Answer with explanation:

Given : The age that children learn to walk is normally distributed with \mu=12\text{ months} and \sigma=1\text{ month}.

Let x be the age that children learn to walk  .

B) Using formula z=\dfrac{x-\mu}{\dfrac{\sigma}{\sqrt{n}}}

n= 19

For x= 11.5

z=\dfrac{11.5-12}{\dfrac{1}{\sqrt{19}}}=-2.18

For x= 12.5

z=\dfrac{12.5-12}{\dfrac{1}{\sqrt{19}}}=2.18

Then, by using the z-value table , for the 19 people, the probability that the average age that they learned to walk is between 11.5 and 12.5 months old will be :-

P(-2.18

Hence, for the 19 people, the probability that the average age that they learned to walk is between 11.5 and 12.5 months old = 0.9707

C. Using formula z=\dfrac{x-\mu}{\sigma}

For x= 11.5

z=\dfrac{11.5-12}{1}=-0.5

For x= 12.5

z=\dfrac{12.5-12}{1}=0.5

Then, by using the z-value table , the probability that the average age that they learned to walk is between 11.5 and 12.5 months old will be :-

P(-0.5

Hence, the probability that the average age that they learned to walk is between 11.5 and 12.5 months old = 0.3829

3 0
4 years ago
At a large airport, data were recorded for one month on how many baggage items were unloaded from each flight upon arrival as we
Reil [10]

Answer:

(A): A least-squares model predicts that the more baggage items that are unloaded from a flight, the greater the time required to deliver the items to the baggage claim area.

Step-by-step explanation:

When a least squares regression line is used to try and predict the behavior of a variable y based on observations (x1,y1), (x2,y2),...(xn,yn) of values of y when values of x1, x2,..., xn of another variable x changes, an equation of the form

y = mx + b

is established to help predict the value of y for a given value of x that might not be among the values x1, x2,..., xn used to derive the model.

If the linear model prove to be the most appropriate, then you can have either a <em>positive linear association or a negative linear association. </em>

A  positive linear association means that the slope of the line is positive (m>0), so the values of y will increase if the values of x do.

In this case, the variable x is how many baggage items were unloaded from each flight upon arrival, and the variable y is the time required to deliver all the baggage items on the flight to the baggage claim area.

As the linear association is positive, it means

(A): A least-squares model predicts that the more baggage items that are unloaded from a flight, the greater the time required to deliver the items to the baggage claim area.

5 0
3 years ago
Becky graphs a system of two linear equations and determine that (1,5) and (3,7) are solutions. What does the of the system look
dangina [55]
One line, Infinitely many
6 0
3 years ago
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