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avanturin [10]
4 years ago
8

Simplify (16y to the power of 8)3/4

Mathematics
2 answers:
Romashka [77]4 years ago
7 0

Answer:

The answer would be 12<em>y</em>^(8) (twelve <em>y</em> to the power of 8)

Step-by-step explanation:

polet [3.4K]4 years ago
7 0

(16y)⁸3/4=

(4²y)⁸*3/4=

(4¹⁰y⁸)*3/4

3*(4¹⁰y⁸)

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Find the distance between the point: (-3,1) and (-7,-5)
kotegsom [21]

Answer:

2√13

Step-by-step explanation:

using the distance formula;

d = \sqrt{(x_2 - x_1)^2 + (y_2-y_1)^2}

you plug the numbers in. once done you get 2√13.

Hope it helps!

7 0
3 years ago
Fernanda's expenditures for this month are: rent, $750.00; groceries, $346.00;
Ivahew [28]
The answer is 1719.09 because that’s the total
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Multiply. Write your answer as a fraction in the simplest form.<br> (−1 2/3)^3
nikdorinn [45]

Answer:

Fraction Calculator

Add Fractions, Subtract Fractions, Multiply Fractions, or Divide Fractions and get an answer in the simplest form with this Online Fraction Calculator.

FRACTION CALCULATOR

First Fraction

/

(+, -, x, ÷)

Second Fraction

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Step-by-step explanation:

5 0
3 years ago
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A group of friends are at a baseball game and are purchasing souvenirs. Dustin purchased 5 t-shirts and 1 baseball cap, spending
Inessa [10]

Answer:

Shirt-$19

Cap-$24

Step-by-step explanation:

5s+1c=119

1s+1c=43

1c=43-1s

substitute:

5s+(43-1s)=119

5s+43-1s=119

4s=119-43

4s=76

1s=19

substitute:

1c=43-(19)

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7 0
3 years ago
The screening process for detecting a rare disease is not perfect. Researchers have developed a blood test that is considered fa
lesya692 [45]

Answer:

Type I: 1.9%, Type II: 1.6%

Step-by-step explanation:

given null hypothesis

H0=the individual has not taken steroids.

type 1 error-falsely rejecting the null hypothesis

⇒   actually the null hypothesis is true⇒the individual has not taken steroids.

 but we rejected it ⇒our prediction is the individual has taken steroids.

typr II error- not rejecting null hypothesis when it has to be rejected

⇒actually null hypothesis is false ⇒the individual has taken steroids.

but we didnt reject⇒the individual has not taken steroids.

let us denote

the individual has taken steroids by 1

the individual has not  taken steroids.by 0

                            predicted

                              1       0

   actual          1    98.4%  1.6%

                        0   1.9%   98.1%

so for type 1 error  

 actual-0

predicted-1

therefore from above table we can see that probability of Type I error is 1.9%=0.019

so for type II error

   actual-1

predicted-0

therefore from above table we can see that probability of Type I error is 1.6%=0.016

5 0
3 years ago
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