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sveta [45]
3 years ago
10

( variable son both sides of an equation)

Mathematics
2 answers:
zaharov [31]3 years ago
5 0
Start by adding 20 to both sides to isolate '7b'. This gives you 7b = 3b + 32.

Next, Subtract 3b from both sides in order to make it so that the variable, which is 'b' in this case, is on one side of the equation.

This gives you 4b = 32.

Now divide both sides by 4 to cancel out 4b (opposite of multiplication is division).

This brings you to the answer b = 8 (32 divided by 4 is 8).

Hope this helps.
padilas [110]3 years ago
4 0
B=8 i hope this helps!!
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Answer:

-4x - 24

Step-by-step explanation:

distribute the -4 by multiplying it by what is in the parenthisis. Since it is negative that makes a -4x and a -24

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Divide $4.20 by 2 to get how much $ a pound then multiply by 5 MAKE SURE TO DO IT TWICE in order to have the right answer
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Mrs. Gregory, the golf course superintendent at a country club, plans to reseed the putting green of the first hole. The circula
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Answer:

The area of the putting green is 1133.5 square feet.

Step-by-step explanation:

Area of a circle:

The area of a circle is given by:

A = \pi r^2

In which r is the radius, which is half the diameter.

The circular putting green has a diameter of 38 ft.

This means that r = \frac{38}{2} = 19

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The area of the putting green is 1133.5 square feet.

5 0
3 years ago
Exhibit 6-5 The weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation o
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Answer:

46.18% of the items will weigh between 6.4 and 8.9 ounces.

Step-by-step explanation:

We are given that the weight of items produced by a machine is normally distributed with a mean of 8 ounces and a standard deviation of 2 ounces.

<em>Let X =  weight of items produced by a machine</em>

The z-score probability distribution for is given by;

                Z = \frac{  X -\mu}{\sigma}  ~ N(0,1)

where, \mu = mean weight = 8 ounces

            \sigma = standard deviation = 2 ounces

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) 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.

So, percentage of items that will weigh between 6.4 and 8.9 ounces is given by = P(6.4 < X < 8.9) = P(X < 8.9 ounces) - P(X \leq 6.4 ounces)

   P(X < 8.9) = P( \frac{  X -\mu}{\sigma} < \frac{  8.9-8}{2} ) = P(Z < 0.45) = 0.67364  {using z table}

   P(X \leq 70) = P( \frac{  X -\mu}{\sigma} \leq \frac{  6.4-8}{2} ) = P(Z \leq -0.80) = 1 - P(Z < 0.80)

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<em>Hence, 46.18% of the items will weigh between 6.4 and 8.9 ounces.</em>

8 0
4 years ago
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A) The dimensions are (x+10) by (x+10).

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To find the perimeter when x=4, substitute 4 into our perimeter expression:

4*4+40=16+40=56.

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