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kotykmax [81]
3 years ago
13

Josha had 20 dollors to spend on three gifts he spent 11 7/10 on gift a and 4 2/5 dollores on gift b how muck money did he have

for gift c
Mathematics
1 answer:
zimovet [89]3 years ago
7 0

Answer:

3 dollars 90 cents

Step-by-step explanation:

20 - 11.70 = 8.30

8.30 - 4.40 = 3.90

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There are three steps:<span>Rearrange the equation so "y" is on the left and everything else on the right.Plot the "y=" line (make it a solid line for y≤ or y≥, and a dashed line for y< or y>)<span>Shade above the line for a "greater than" (y> or y≥) or below the line for a "less than" (y< or y≤).</span></span>
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The number of customers for a new online business can be modeled by y = 8x2 + 100x + 250, where x represents the number of month
kenny6666 [7]
The best prediction for the number of customers is 5450.

To find this value, you just need to plug in 20 for x into the expression. Then, evaluate it using the order of operations.

8(20)^2 + 100(20) + 250
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2-7x-3x=-8x-8<br><br><br> Explain<br><br><br> Thanks
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2-7x-3x=-8x-8\\\\-7x-3x+8x=-8-2\\\\-2x=-10 \ \ /:(-2)\\\\\huge\boxed{x=5}

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What is x&gt;8,x&lt;0 written in interval notation?
vazorg [7]

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(-∞, 0) U (8, ∞)

Step-by-step explanation:

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A variable is normally distributed with mean 6 and standard 2 deviation .
Tju [1.3M]

The normal distribution is also known as the Gaussian distribution. The percentage of all possible values of the variable that are less than 4 is 15.87%.

<h3>What is a normal distribution?</h3>

The normal distribution, also known as the Gaussian distribution, is a symmetric probability distribution about the mean, indicating that data near the mean occur more frequently than data distant from the mean. The normal distribution will show as a bell curve on a graph.

A.) The percentage of all possible values of the variable that lie between 5 and 9.

P(5<X<9) = P(X<9) - P(5<X)

               = P(z<1.5) - P(-0.5<z)

               = 0.9332 - 0.3085

               = 0.6247

               = 62.47%

B.) The percentage of all possible values of the variable that exceed 1.

P(X>1) = 1 - P(X<-2.5)

          = 1-0.0062

          = 0.9938

          = 99.38%

C.) The percentage of all possible values of the variable that are less than 4.

P(X<4) = P(X <4)

           = P(z<-1)
           = 0.1587

           = 15.87%

Learn more about Normal Distribution:

brainly.com/question/15103234

#SPJ1

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