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JulsSmile [24]
3 years ago
11

Solve for B ab +c=d

Mathematics
2 answers:
Dafna1 [17]3 years ago
7 0

Answer:

b \:  =  \: d \:  -  \: c  \:  \div a

Step-by-step explanation:

ab + c = d

ab = d - c

b = d - c/a

steposvetlana [31]3 years ago
5 0

Answer:

ab + c = d  

ab = d - c

Divide both sides by a

ab/a = d-c/a

b = d - c/ a

Step-by-step explanation:

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A desk is 39 inches wide. What is the width in yards
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Answer:

1.0833 yd

Step-by-step explanation:

Inches    Yards

37"         1.0278 yd

38"         1.0556 yd

39"         1.0833 yd

40"         1.1111 yd

Have a great day! :D

4 0
3 years ago
6. RVHS sold 143 Adult and Student tickets to the
slava [35]

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7 0
3 years ago
Please solve for a need help
Anna71 [15]

The two lines with arrows are parallel, which means angles A and B are supplementary.

So we have

A + B = 180º

(6<em>x</em> - 35)º + (3<em>x</em> + 53)º = 180º

(9<em>x</em> + 18)º = 180º

(9<em>x</em>)º = 162º

<em>x</em> = 18

This means angle A has measure

A = (6<em>x</em> - 35)º = 73º

6 0
3 years ago
What is equivelint in ratio
fgiga [73]
A equivelint  ratio is when u can multi or divide by both sides
6 0
3 years ago
What is the significance of the mean of a probability​ distribution?
VikaD [51]

Answer:

Significance of the mean of a probability​ distribution.          

Step-by-step explanation:

  • The mean of a probability distribution is the arithmetic average value of a random variable having that distribution.
  • For a discrete probability distribution, the mean is given by, \sum x_iP(x_i), where P(x) is the probabiliy mass function.
  • For a continuous probability distribution, the mean s given by, E(x) = \int x_if(x_i), where f(x) is the probability density function.
  • Mean is a measure of central location of a random variable.
  • It is the weighted average of the values that X can take, with weights given by the probability density function.
  • The mean is known as  expected value or expectation of X.
  • An important consequence of this is that the mean of any symmetric random variable (continuous or discrete) is always on the axis of symmetry of the distribution.
  • For a continuous random variable, the mean is always on the axis of symmetry of the probability density function.
4 0
4 years ago
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