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3 years ago

1/4(x+2)+4=12 x=? Help idk

Mathematics

2 answers:

Gnoma [55]3 years ago

5 0

$\frac{1}{4}(x+2)+4=12$

$\frac{1}{4}(x+2)=8$

$x+2=32$

$x=30$

ki77a [65]3 years ago

5 0

The answer is: x = 30

Step 1: Simplify [ 1/4 (x + 2) to x+2/4 ]

Step 2: Subtract 4 from both sides.

Step 3: Simplify 12-4 to 8

Step 4: Multiply both sides by 4

Step 5: Simply 8 x 4 to 32

Step 6: Subtract 2 from both sides

Step 7: Simplify 32 - 2 to 30.

Let me know if this helps! :)

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The table represents a linear function. Find the values of A and B.

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Answer:

The answers are that a = -5 and b = 1

Step-by-step explanation:

In order to find A and B, we first need to find the equation of the line. We can do this by using two ordered pairs and the slope formula. For the purpose of this activity, I'l use (0, 5) and (-3, 11)

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m = (11 - 5)/(-3 - 0)

m = 6/-3

m = -2

Now that we have this we can model this using point-slope form.

y - y1 = m(x - x1)

y - 5 = -2(x - 0)

y - 5 = -2x

y = -2x + 5

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15 = -2(a) + 5

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And we can also solve for b using the ordered pair (2, b)

y = -2x + 5

b = -2(2) + 5

b = -4 + 5

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3 years ago

five times the sum of a number and 27 is greater than or equal to six times the sum of that number and 26. what is the solution

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<h3>☁️ Learn Math With Me-!</h3>

$\sf\frac{{96}^{84}}{{96}^{82}}=... \\$

$\sf = {96}^{84} \div {96}^{82}$

$\sf = {96}^{84 - 82}$

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2 years ago

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anzhelika [568]

Answer:

Step-by-step explanation:

a straight line has the degree of 180

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3 years ago

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Answer:

Mean = 1.57

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Step-by-step explanation:

To calculate the mean and the variance of the number of successful surgeries (X), we first have to enumerate the possible outcomes:

1) Both surgeries are successful (X=2).

$P(e_1)=0.90*0.67=0.603$

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$P(e_2)=(1-0.9)*0.67=0.1*0.67=0.067$

3) Right knee unsuccessful and left knee successful (X=1).

$P(e_3)=0.90*(1-0.67)=0.9*0.33=0.297$

4) Both surgeries are unsuccessful (X=0).

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Then, the mean can be calculated as the expected value:

$M=\sum p_iX_i=0.603*2+0.067*1+0.297*1+0.033*0\\\\M=1.206+0.067+0.297+0\\\\M=1.57$

The variance can be calculated as:

$V=\sum p_i(X_i-\bar{X})^2\\\\V=0.603(2-1.57)^2+(0.067+0.297)*(1-1.57)^2+0.033*(0-1.57)^2\\\\V=0.603*0.1849+0.364*0.3249+0.033*2.4649\\\\V=0.1115+0.1183+0.0813\\\\V=0.3111$

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3 years ago