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MAXImum [283]
3 years ago
6

Which number(s) below belong to the solution set of the inequality? 11x > 32 (Check all that apply)

Mathematics
1 answer:
morpeh [17]3 years ago
6 0
For this case we have the following inequality:
 11x\ \textgreater \  32

 From here, we must clear the value of x.
 We have then:
 x\ \textgreater \   \frac{32}{11} 

 x\ \textgreater \  2.9

 Therefore, the solution set is all the numbers belonging to the following interval:
 (2.9,∞)
 Note: see attached image for graphic solution.
 Answer:
 
The numbers that belong to the solution of the inequality are those that are shown in the attached graph and that belong to the interval:
 
(2.9,∞)

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G(x) = - 3x - 8<br><br> g (____) =10
Alex73 [517]
Answer: 6

-3x-8=10
-3x=18
x=6

When g(x) is equal to 10, x is equal to 6. So, g(6)=10
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3 years ago
Pablo borrowed $50,000 to start a business. Three years later, he repaid the $50,000 along with an interest of $9,375. What was
kiruha [24]

Answer:

The annual interest rate is 6.25%

Step-by-step explanation:

We have been given that

P = $50,000

I = $9,375

t = 3 years

r = ?

The formula for simple interest is given by

I=Prt\\\\\text{Substituting the known values, we get}\\\\9375=50000(r)\cdot3\\\\r=\frac{9375}{50000\cdot3}\\\\r=0.0625\\\\r=6.25\%

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6 0
3 years ago
Original price: $66; Markup: 20% The retail price is ?
andrezito [222]

Answer:

$79.20

Step-by-step explanation:

20% of $66 = $13.20

$66 + $13.20 = $79.20

4 0
3 years ago
Read 2 more answers
6.1.3
Nata [24]

Answer:

The requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.

Step-by-step explanation:

A normal-distribution is an accurate symmetric-distribution of experimental data-values.  

If we create a histogram on data-values that are normally distributed, the figure of columns form a symmetrical bell shape.  

If X \sim N (µ, σ²), then Z=\frac{X-\mu}{\sigma}, is a standard normal variate with mean, E (Z) = 0 and Var (Z) = 1. That is, Z \sim N (0, 1).

The distribution of these z-variates is known as the standard normal distribution.

Thus, the requirements that are necessary for a normal probability distribution to be a standard normal probability distribution are <em>µ</em> = 0 and <em>σ</em> = 1.

8 0
3 years ago
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