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Doss [256]
3 years ago
5

(5p-9)(5p-9) find each square

Mathematics
1 answer:
Iteru [2.4K]3 years ago
6 0

Answer:

The square would be 25p^2 - 90p + 81

Step-by-step explanation:

To get this, use the FOIL method. In this, we multiply the first, outer, inner and last pairings.

First - Multiply the first number in each parenthesis.

5p * 5p = 25p^2

Outer - Multiply the outside numbers in each parenthesis.

5p * -9 = -45p

Inner - Multiply the inner numbers in each parenthesis.

-9 * 5p = -45p

Last = Multiply the last numbers in each parenthesis

-9 * -9 = 81

Now take all of those numbers and add together. Then simplify.

25p^2 - 45p - 45p + 81

25p^2 - 90p + 81

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Free brainlest if u help pls
Oliga [24]

5x/4-2=3x/2-4  is true

5x/4 -2=6x/4-4

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5 0
3 years ago
What two consecutive integers have a sum of 75?
marshall27 [118]

Answer:

37 and 38.

Step-by-step explanation:

Let the smaller integer be x.

Thus, the larger integer is (x+1) since it is consecutive.

x+(x+1)=75

2x+1=75

Subtract both sides by 1:

2x+1-1=75-1

2x=74

Divide both sides by 2:

\frac{2x}{2}=\frac{74}{2}

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To find the other number, simply add 1 to 37 to get 38.

7 0
3 years ago
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What is the slope of the line? <br> y+3=-4(x+7)
strojnjashka [21]

We don't really have to put this in slope intercept form; it would clearly end up as

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8 0
2 years ago
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Use the cumulative normal distribution table to find the z-scores thqt bound the middle of 68% of theje area under the stanrard
padilas [110]

Answer:

Z scores between -0.995 and 0.995 bound the middle 68% of the area under the stanrard normal curve

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.

Middle 68%

Between the 50 - (68/2) = 16th percentile and the 50 + (68/2) = 84th percentile.

16th percentile:

X when Z has a pvalue of 0.16. So X when Z = -0.995

84th percentile:

X when Z has a pvalue of 0.84. So X when Z = 0.995.

Z scores between -0.995 and 0.995 bound the middle 68% of the area under the stanrard normal curve

7 0
3 years ago
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