Need answers ASAP

1 answer:

8 0

Supplementary means they add up to 180, so you can write an equation:
3x + 2x - 25 = 180
5x - 25 = 180
+ 25
5x = 205
÷ 5
x = 41
I hope this helps!

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-4/4- (-8/4)<br><br> Write answer as a decimal

olga_2 [115]

-4/4 can be reduced to -2.
(-8/4) can be reduced to -1.
What you have to do next is to add -1-(-2).
The final answer is 1.
Hope that helps!!!.

8 0

2 years ago

Solve the equation.check your solution,if possible. 1/2s=4s-21

Sladkaya [172]

S=6

Solution
6/2=3
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24-21=3

5 0

2 years ago

2z^4-10z^3+4z^2 factorable?

charle [14.2K]

Yes
factor out the 2z^2 in each term
(2z^2)(z^2-5z+4)
factor some more
z^2-5z+4
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the numbers are -1 and -4
(z-1)(z-4)

the factored form is
(2z^2)(z-1)(z-4)

8 0

2 years ago

Any number divisivble by 2 is also divisible by 8. Find a counter example to show that the conjecture is false.

Vladimir [108]

In the case of whole numbers, dividing 2 by itself would prove the conjecture false.

2/2 = 1

2/8 = 0.25

8 0

3 years ago

What is the probability that a randomly selected male will have a foot length between 8 and 12.5 inches? P(8 < r < 12.5)=

melisa1 [442]

Answer:

0.8185 or 81.85%

Step-by-step explanation:

The mean length (μ) of an adult foot is 11 and the standard deviation (σ) is 1.5.

The z score is a measure in statistic used to determine the amount of standard deviation by which the raw score (x) is above or below the mean. If the raw score is above the mean, the z score is positive and if the raw score is below the mean the z sore is negative. It is given by:

$z=\frac{x-\mu}{\sigma}$

To calculate the probability that a randomly selected male will have a foot length between 8 and 12.5 inches, we first calculate the z score for 8 inches and then for 12.5 inches.

For 8 inches:

$z=\frac{x-\mu}{\sigma}=\frac{8-11}{1.5}=-2$

For 12.5 inches:

$z=\frac{x-\mu}{\sigma}=\frac{12.5-11}{1.5}=1$

From the normal distribution table, The probability that a randomly selected male will have a foot length between 8 and 12.5 inches = P(8 < x < 12.5) = P(-2 < z < 1) = P(z < 1) - P(z < -2) = 0.8413 - 0.0228 = 0.8185 = 81.85%

4 0

3 years ago