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Free_Kalibri [48]
3 years ago
15

Which equation represents the slope-intercept form of the line below?

Mathematics
1 answer:
Vesna [10]3 years ago
8 0

Answer:

y = - 5x - 6

Step-by-step explanation:

The equation of a line in slope- intercept form is

y = mx + c ( m is the slope and c the y- intercept )

Here m = - 5 and c = - 6, thus

y = - 5x - 6 ← equation in slope- intercept form

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Solve 6x(6x) + 11x - 35 = 0
Murljashka [212]
36x^2 + 11x - 35=0\\\\ \frac{-b \pm  \sqrt{ b^2 -4( a)(c)} }{2(a)}\\\\  \frac{-11\pm  \sqrt{11^2 -4(36)(-35)} }{2(36)}\\ \\   \frac{-11\pm  \sqrt{5161 } }{72}\\\\\\ x = 0.8450013919812116\\\\ \text{   } x  = -1.1505569475367672
4 0
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Jame uses the distributive property to find how many cans of paint are in the art supply closet. There are 5 boxes in the closet
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It's 70

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Best explained and correct answer gets brainliest!
sertanlavr [38]
Same side, interior angles of parallel lines cut by a transversal are supplementary.
The sum of the measures of supplementary angles is 180.

Angles 4 and 6 are same side, interior angles, so their measures add to 180.

m<4 + m<6 = 180

109 + m<6 = 180

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3 years ago
Help whats the answer​
Gnom [1K]

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Step-by-step explanation:

8 0
3 years ago
A worn, poorly set-up machine is observed to produce components whose length X follows a normal distribution with mean 14 centim
Akimi4 [234]

Answer:

74.86% probability that a component is at least 12 centimeters long.

Step-by-step explanation:

Problems of normally distributed samples are 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.

In this problem, we have that:

\mu = 14

Variance is 9.

The standard deviation is the square root of the variance.

So

\sigma = \sqrt{9} = 3

Calculate the probability that a component is at least 12 centimeters long.

This is 1 subtracted by the pvalue of Z when X = 12. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{12 - 14}{3}

Z = -0.67

Z = -0.67 has a pvalue of 0.2514.

1-0.2514 = 0.7486

74.86% probability that a component is at least 12 centimeters long.

6 0
3 years ago
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