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KengaRu [80]
3 years ago
14

Convert y = -2x +5 to point slope form

Mathematics
1 answer:
ehidna [41]3 years ago
3 0

Answer:

Converting y = -2x +5 to point-slope form will be:

  • y - 5 = -2(x-0)

Step-by-step explanation:

We know that the slope-intercept form of the line equation is

y = mx+b

where

  • m is the slope
  • b is the y-intercept

Given the equation

y = -2x +5

comparing with the  slope-intercept form

Slope of the line = m = -2

The y-intercept b = 5

We know that the value of y-intercept can be determined by setting x = 0, and determining the corresponding value of y.

Thus, the ordered pair or point representing the y-intercept will be:

  • (0, 5)

Now, we have

  • The slope = m = -2
  • The point = (0, 5)

Now, using the point-slope form of the line equation

y-y_1=m\left(x-x_1\right)

where

  • m is the slope of the line
  • (x₁, y₁) is the point

substituting the values m = -2 and the point (x₁, y₁) = (0, 5)

y-y_1=m\left(x-x_1\right)

y - 5 = -2(x-0)

Therefore, converting y = -2x +5 to point-slope form will be:

  • y - 5 = -2(x-0)
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Suppose the daily customer volume at a call center has a normal distribution with mean 5,500 and standard deviation 1,000. What
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Answer:

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

Step-by-step explanation:

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score 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 p-value, we get the probability that the value of the measure is greater than X.

Mean 5,500 and standard deviation 1,000.

This means that \mu = 5500, \sigma = 1000

What is the probability that the call center will get between 4,800 and 5,000 calls in a day?

This is the p-value of Z when X = 5000 subtracted by the p-value of Z when X = 4800. So

X = 5000

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

Z = \frac{5000 - 5500}{1000}

Z = -0.5

Z = -0.5 has a p-value of 0.3085.

X = 4800

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

Z = \frac{4800 - 5500}{1000}

Z = -0.7

Z = -0.7 has a p-value of 0.2420.

0.3085 - 0.2420 = 0.0665

0.0665 = 6.65% probability that the call center will get between 4,800 and 5,000 calls in a day.

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Step-by-step explanation:

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Answer:

SA = 470 m²

volume = 494 m³

Step-by-step explanation:

<u>Individual areas</u>

Back = 4 x 19 = 76 m²

Top = 5 x 19 = 95 m²

sloped side = 5 x 19 = 95 m²

base = 8 x 19 = 152 m²

end = (4 x 5) + 1/2(3 x 4) = 26 m²

Total SA = 76 + 95 + 95 + 152 + (2 x 26) = 470 m²

<u>Volume</u>

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