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2 years ago

What other point will appear on the line representing this proportional relationship where the constant of proportionality is 2?

Mathematics

1 answer:

Bumek [7]2 years ago

4 0

Answer:

Step-by-step explanation:

The equation of proportionality is

y = kx ← k is the constant of proportionality

Here k = 2 , then

y = 2x

This means that the y- coordinate is twice the x- coordinate

The only point where this is true is the point

(2, 4 ) → B

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Use the relationship between the sine and cosine functions to fill in each blank .

rjkz [21]

Answer:

sin(12°)

Step-by-step explanation:

Because sine and cosine are cofunctions, we can use the relation sin(90° - θ) = cosθ to show that cos(78°) = sin(90° - 78°) = sin(12°)

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3 years ago

.Damian wrote the number five and thirty-eight thousandths as 5.38. Was he correct or not? if so, what was the error

eduard

Answer:

he is incorrect.

Step-by-step explanation:

It would be 5 and 38 HUNDRETHS because the first number after the decimal is the tenths.

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3 years ago

Determine the slope of the line that contains the given points. <br><br> <img src="https://tex.z-dn.net/?f=G%28-4%2C3%29%2C%20H%

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3 years ago

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3 years ago

Assume that the heights of women are normally distributed with a mean of 63.6 inches and a standard deviation of 2.5 inches. If

vesna_86 [32]

Answer:

<h2>The probability is 58 %.</h2>

Step-by-step explanation:

This problem belong to a normal distribution probability.

Mean = 63.6

Standard Deviation = 2.5.

We have to find the probability of a height greater than 63.0.

Due to the normal probability, we need to find the Z score first:

$Z=\frac{x-u}{o}$ ; where x is the height, u is the mean, and o is the standard deviation.

$Z=\frac{63-63.6}{2.5} \\Z= -0.24$

Once we have our Z score, we find the probability with the z-table (attached). So, for a z score of -0.24 we have a probability of 0.42.

But, the problem is asking for height greater than 63.0, this mean that we have to subtract 0.42 from 1, giving as result 0.58, which means a 58% of probability,

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4 years ago