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german
2 years ago
6

Find the equation of the line passing through the points (-4,-5) and (4,1)

Mathematics
1 answer:
RoseWind [281]2 years ago
6 0

Answer:

Y = 3/4x - 2

Step-by-step explanation:

Slope = (1 - - 5)/(4 - - 4 =6/8 = 3/4

b = -5 - (3/4)(-4)

b = -5 + 3 = -2

y = 3/4x - 2

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Ariel takes 3 pages of notes during each hour of class. In all, how many hours will Ariel
7nadin3 [17]

Answer:

12 hours

Step-by-step explanation:

36 divide that by 12 and she has 12 hours to write on 36 pages

7 0
3 years ago
In ΔUVW, the measure of ∠W=90°, UV = 6.2 feet, and WU = 1.2 feet. Find the measure of ∠V to the nearest tenth of a degree.
Crazy boy [7]

Answer:

m<V = 11.2 degrees

Step-by-step explanation:

In ΔUVW, the measure of ∠W=90°, UV = 6.2 feet, and WU = 1.2 feet.

From the triangle;

UV = hypotenuse = 6.2feet

WU = opposite = 1.2feet

Required

m<V

Using the SOH CAH TOA identity

sin m<V = opp/hyp

sin m<V = WU/UV

sin m<V = 1.2/6.2

sin m<V = 0.1936

m<V = arcsin(0.1936)

m<V = 11.16

m<V = 11.2 degrees ((to the nearest tenth of a degree)

4 0
2 years ago
Read 2 more answers
Solve <br> | 2x + 6 | = x
Lemur [1.5K]

Answer:

1)<u> </u><u>soln</u>,

or,2x+6=x

or,2x-x= -6

or,x= -6

•°•x= -6 Ans#

4 0
2 years ago
A tablet PC contains 3217 music files. The distribution of file size is highly skewed with many small files. Suppose the true me
m_a_m_a [10]

Answer:

Let X the random variable who represents the file sizeof music. We know the following info:

\mu =2.3,\sigma =3.25

We select a sample of n=50 nails. That represent the sample size.  

Since the sample size is large enough n >30, we can use the central limit theorem. From this theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we can approximate the distribution of the sample mean as a normal distribution and no matter if the distribution for X is right skewed or no.

Step-by-step explanation:

Previous concepts

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".  

The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".

Let X the random variable who represents the file sizeof music. We know the following info:

\mu =2.3,\sigma =3.25

We select a sample of n=50 nails. That represent the sample size.  

Since the sample size is large enough n >30, we can use the central limit theorem. From this theorem we know that the distribution for the sample mean \bar X is given by:

\bar X \sim N(\mu, \frac{\sigma}{\sqrt{n}})

And we can approximate the distribution of the sample mean as a normal distribution and no matter if the distribution for X is right skewed or no.

8 0
3 years ago
The two angles shown are complementary angles.What is the value of x?
astraxan [27]

Answer:

complementary angles are angles that sum up to 90 degrees. that is all I can say because I can't see any diagram

4 0
3 years ago
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