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strojnjashka [21]
3 years ago
14

Please help me with this question​

Mathematics
1 answer:
Lyrx [107]3 years ago
5 0

Answer:

A

Step-by-step explanation:

Here is a site to help you...that my teacher showed me...when you search it it will show this...just click graphing calculator

desmos.com

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What is the factor of -12n - 20
Arada [10]

Answer:

<h2>-12n - 20 = -2(6n + 10)</h2>

Step-by-step explanation:

-12n - 20

-12n = (-2)(6n)

-20 = (-2)(10)

-12n - 20 = (-2)(6n+10)

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3 years ago
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Dan is watching the birds in his backyard. Of the birds he watches, 9 of them, or 45%, are sparrows. How may birds are in his ba
andrezito [222]

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5

Step-by-step explanation:45 divided by 9 is 5

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In this triangle, what is the value of x
shutvik [7]

Answer:

75.7 cm

Step-by-step explanation:

\sin \: 63 \degree =  \frac{x}{85} \\  \\  0.8910065242 = \frac{x}{85} \\  \\ x = 0.8910065242 \times 85 \\  \\ x = 75.7355546 \\  \\ x = 75.7 \: cm

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3 years ago
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A 95% confidence interval for a population mean is computed from a sample of size 400. Another 95% confidence interval will be c
Anna [14]

Answer:

The interval from the sample of size 400 will be approximately <u>One -half as wide</u> as the interval from the sample of size 100

Step-by-step explanation:

From the question we are told the confidence level is  95% , hence the level of significance is    

      \alpha = (100 - 95 ) \%

=>   \alpha = 0.05

Generally from the normal distribution table the critical value  of  \frac{\alpha }{2} is  

   Z_{\frac{\alpha }{2} } =  1.96

Generally the 95% confidence interval is dependent on the value of the margin of error at a constant sample mean or sample proportion

Generally the margin of error is mathematically represented as

      E = Z_{\frac{\alpha }{2} } * \frac{\sigma}{\sqrt{n} }    

Here assume that Z_{\frac{\alpha }{2} } \ and \  \sigma \ is constant so

     E =  \frac{k}{\sqrt{n} }

=>  E \sqrt{n} = K

=>   E_1 \sqrt{n}_1 =  E_2 \sqrt{n}_2

So  let  n_1 = 400 and n_2 =  100

=>   E_1 \sqrt{400} =  E_2 \sqrt{100}

=>  E_1 =  \frac{\sqrt{100} }{\sqrt{400} } E_2

=>  E_1 =  \frac{1}{2 } E_2

So From this we see that  the confidence interval for a sample size of 400 will be half that with a sample size of 100

   

     

   

7 0
2 years ago
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