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tester [92]
3 years ago
13

One more question (-8)+___=-17

Mathematics
2 answers:
seropon [69]3 years ago
8 0

Answer:

-9

Step-by-step explanation:

tigry1 [53]3 years ago
7 0

Answer:

-9

Step-by-step explanation:

-8 +___= - 17

___=-17 +8

___=-9

=-9

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5x-4+2x=3
yuradex [85]
Alright so 5x-4+2x=3 so we are solving for x so 5x+3x=7x so you are left with 7x-4=3 then you add 4 to 3 on the other side that leaves you with 7x=7 so then divide 7 from 7 then you will get x=1
8 0
3 years ago
A putt putt course offers a deal that when you purchase 10 rounds of golf, you get 1 round for free. if you played a total of 35
natima [27]
35/11 = 3.18..... 

This means that out of 35 rounds only 3 of them were free because every 11 rounds 1 is free.

so 35-3=32

You purchased 32 rounds.

Please mark brainliest. This was kind of a confusing question at first.


5 0
3 years ago
Read 2 more answers
Y= -5x-10<br> y=6x+12<br><br> solve by substitution
Mamont248 [21]

Answer:

<em>(-2,0) x=-2  y=0 </em>

Step-by-step explanation:

<u>Solve for the first variable in one of the equations, then substitute the result into the other equation</u>

<u>Hope this helps!</u>

4 0
3 years ago
Read 2 more answers
A number plus 12 is 36. write an equation and use equation to solve
just olya [345]

Answer:

EQUATION IS GIVEN BELOW.

Step-by-step explanation:

let the number be 'x'

now,

x+12 =36

or, x=36-12

therefore,x=24

8 0
3 years ago
Read 2 more answers
Consider a normal distribution curve where the middle 85 % of the area under the curve lies above the interval ( 8 , 14 ). Use t
NeTakaya

Answer:

\mu = 11

\sigma = 2.08

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.

Middle 85%.

Values of X when Z has a pvalue of 0.5 - 0.85/2 = 0.075 to 0.5 + 0.85/2 = 0.925

Above the interval (8,14)

This means that when Z has a pvalue of 0.075, X = 8. So when Z = -1.44, X = 8. So

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

-1.44 = \frac{8 - \mu}{\sigma}

8 - \mu = -1.44\sigma

\mu = 8 + 1.44\sigma

Also, when X = 14, Z has a pvalue of 0.925, so when X = 8, Z = 1.44

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

1.44 = \frac{14 - \mu}{\sigma}

14 - \mu = 1.44\sigma

1.44\sigma = 14 - \mu

Replacing in the first equation

\mu = 8 + 1.44\sigma

\mu = 8 + 14 - \mu

2\mu = 22

\mu = \frac{22}{2}

\mu = 11

Standard deviation:

1.44\sigma = 14 - \mu

1.44\sigma = 14 - 11

\sigma = \frac{3}{1.44}

\sigma = 2.08

7 0
3 years ago
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