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strojnjashka [21]
3 years ago
5

What is the answer to this problem ?

Mathematics
2 answers:
Over [174]3 years ago
8 0
49^(1/2) = (7^2)^(1/2) =7
Margarita [4]3 years ago
5 0
If something is to the power of 1/2, it is the same as the square root of that number. So, what's the square root of 49?
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What are the 1st 100 digits of Pi rounded to 100, then divided by 2?
pochemuha
35 50 65 I have to type more because it doesn’t let me answer if I don’t
7 0
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−5(2x+1)−2x−2=<br> \,\,17<br> 17
earnstyle [38]

Answer:

here you go;

Step-by-step expl

4 0
2 years ago
How can you write 2,000 in a exponent
Mnenie [13.5K]
1,000 = 10^3            (3 because there are 3 digits after the first one)

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3 0
3 years ago
(Pls help) I need help finding x!
Ray Of Light [21]

Answer:

x ≈ 46°

Step-by-step explanation:

Since the triangle is right use the sine ratio to solve for x

sinx = \frac{opposite}{hypotenuse} = \frac{10}{14}, hence

x = sin^{-1} ( \frac{10}{14} ) ≈ 46°

8 0
2 years ago
The latest poll from ESPN asked fans what their favorite sport was, considering pro, college and highschool levels. Out of 1000
shepuryov [24]

Answer:

Confidence interval is 0.2911

Step-by-step explanation:

Given that 32% of fans sport is basketball as favorite sport. So total number of fans is,

32\%\times 1000

= \dfrac{32}{100}\times 1000

=320

So 320 fans favorite sport is basket ball.

Now find sample proportion ,

\widehat{p}=\dfrac{number\:of\:people\:in\:the\:sample}{total\:number\:of\:people}

Substituting the value,

\widehat{p}=\dfrac{320}{1000}

\widehat{p}=0.320

Formula for confidence interval is,  

CI=\widehat{p}\pm z\sqrt{\dfrac{\widehat{p}\left (1-\widehat{p}\right )}{n}}

To calculate the z value.

Confidence Level=1-\alpha

0.95=1-\alpha

0.05=\alpha

Now divide above value by 2,  

\dfrac{0.05}{2}=\dfrac{\alpha}{2}

0.025=\dfrac{\alpha}{2}

To find the value of z score calculate the area under the curve as follows

A=\dfrac{1+CL}{2}

A=\dfrac{1+0.95}{2}

A=\dfrac{1.95}{2}

A=0.975

On z table, find the value of 0.975. So the row corresponding to 0.975 is 1.9 and column corresponding to 0.975 is 0.06. Adding these two values the z score is 1.96.

or find the value from excel by using command as follows,  

=NORM.S.INV(0.025)= -1.959963985

Now substituting the value,  

CI=0.320\pm 1.96\sqrt{\dfrac{0.320\left (1-0.320\right )}{1000}}

CI=0.320\pm 0.02891

Lower end of the interval is,

CI=0.320- 0.02891

CI=0.2911

Upper end of the interval is,

CI=0.320+ 0.02891

CI=0.3489

Therefore 95% confidence interval is 0.2911

7 0
3 years ago
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