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Semenov [28]
3 years ago
8

3) Artemis has 6 boards cut in various lengths as shown. She wants to use 3 of them to frame

Mathematics
1 answer:
lora16 [44]3 years ago
6 0

Answer:

It's either 3 Triangles

, 4 Triangles

, 5 Triangles

, or 6 Triangles

Step-by-step explanation:

Considering how many answers there are, there's a 1/4 chance for it to be any. Concluding by that it's either 3 Triangles

, 4 Triangles

, 5 Triangles

, or 6 Triangles

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in 15 years Pam hope to have $30,000to make a down payment on a house. how much would she need to invest right now in a mutual f
Goryan [66]

Answer:

She needs to invest $13,636.36 right now

Step-by-step explanation:

This is a simple interest problem.

The simple interest formula is given by:

E = P*I*t

In which E is the amount of interest earned, P is the principal(the initial amount of money), I is the interest rate(yearly, as a decimal) and t is the time.

After t years, the total amount of money is:

T = E + P

In this question:

In 15 years, so t = 15

She wants to have $30,000, so T = 30000

8% interest, so I = 0.08

We have to find P.

T = E + P

30000 = E + P

E = 30000 - P

Replacing:

E = P*I*t

30000 - P = P*0.08*15

30000 - P = 1.2P

2.2P = 30000

P = \frac{30000}{2.2}

P = 13636.36

She needs to invest $13,636.36 right now

5 0
3 years ago
For many years businesses have struggled with the rising cost of health care. But recently, the increases have slowed due to les
kaheart [24]

Answer:

The confidence interval would be given by this formula

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

The margin of error for this case is given by:

ME= z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

And replacing we got:

ME = 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.0259

And replacing into the confidence interval formula we got:

0.52 - 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.4941

0.52 + 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.5459

And the 95% confidence interval would be given (0.4941;0.5459).

Step-by-step explanation:

Data given and notation  

n=1000 represent the random sample taken    

\hat p=0.52 estimated proportion of of U.S. employers were likely to require higher employee contributions for health care coverage

\alpha=0.05 represent the significance level (no given, but is assumed)    

Solution to the problem

The confidence interval would be given by this formula

\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

For the 95% confidence interval the value of \alpha=1-0.95=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

The margin of error for this case is given by:

ME= z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}

And replacing we got:

ME = 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.0259

And replacing into the confidence interval formula we got:

0.52 - 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.4941

0.52 + 1.64*\sqrt{\frac{0.52(1-0.52)}{1000}}=0.5459

And the 95% confidence interval would be given (0.4941;0.5459).

5 0
3 years ago
8. | 11 | 14 | 17 | 20<br> What’s the function
Murrr4er [49]

Answer:

What do you exactly need to do?

Step-by-step explanation:

8 0
4 years ago
Read 2 more answers
Solve x: <br> 6 - 4x = -38<br> --Please help! This is homework due in for Monday! Xx
igomit [66]

Isolate the x. Note the equal sign, what you do to one side, you do to the other. Do the opposite of PEMDAS (Parenthesis, Exponents (& roots), Multiplication, Division, Addition, Subtraction)

First, subtract 6 from both sides

-4x + 6 (-6) = -38 (-6)

-4x = -38 - 6

-4x = -44

Next, fully isolate the x by dividing -4 from both sides

(-4x)/-4 = (-44)/-4

x = -44/-4

x = 11

11 is your answer for x.

~

5 0
3 years ago
Read 2 more answers
Wich function is described by the value in the table​
kolbaska11 [484]
The table isn’t shown so I cant tell
3 0
3 years ago
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