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Firlakuza [10]
2 years ago
12

About 10% of the population has a particular genetic mutation. 700 people are randomly selected. Find the standard deviation for

the number of people with the genetic mutation in such groups of 700.
Mathematics
1 answer:
Oduvanchick [21]2 years ago
8 0

Answer: 7.94

Step-by-step explanation:

The formula to calculate the standard deviation for binomial distribution :-

\sigma=\sqrt{np(1-p)}, where n is the number total of trials and p is the probability of getting success in each trial.

Given : The probability of the population has a particular genetic mutation=0.1

If 700 people are randomly selected, then the standard deviation for the number of people with the genetic mutation in such groups of 700 will be :-

\sigma=\sqrt{700\times0.1(1-0.1)}\\\\\Rightarrow\sigma=\sqrt{63}\\\\\Rightarrow\sigma=7.9372539331\approx7.94

Hence, the standard deviation for the number of people with the genetic mutation in such groups of 700 = 7.94

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valentinak56 [21]

Answer:

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Step-by-step explanation:

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We substitute into the formula to get:

=  \frac{3.14 \times  {3}^{2} }{2}

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Or

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3 years ago
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2 years ago
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2 years ago
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When engaging in weight-control (fitness/fat burning) types of exercise, a person is expected to attain about 60% of their maxim
Nimfa-mama [501]

Answer:

a) <em> standard error of the mean =10.06</em>

<em>b)  The margin of error  = 17.3982</em>

<em>c) 95% of confidence intervals are </em>

<em></em>(89.6018 ,124.3982)<em></em>

<em>d) Lower limit of 95% of confidence interval  = 89.6018</em>

<em>upper limit of 95% of confidence interval  = 124.3982</em>

<em>The Population mean is lies between in these intervals</em>

<u>Step-by-step explanation:</u>

<u><em>Step(i)</em></u><u>:-</u>

Given sample size 'n' = 20

Given sample mean was found to be 107 bpm with a standard deviation of 45 bpm.

<em>Sample mean             </em>x^{-} = 107 bpm<em></em>

<em>Sample standard deviation (S) = 45 bpm</em>

<em>a) standard error of the mean is determined by</em>

<em>     </em>S.E = \frac{S}{\sqrt{n} } = \frac{45}{\sqrt{20} }<em></em>

<em>     S.E = 10.06</em>

<em>b) The margin of error is determined by</em>

<em></em>M.E = \frac{t_{\alpha } X S }{\sqrt{n} }<em></em>

<em>The degrees of freedom  ν   </em>= n-1 =20-1=19<em></em>

<em>   </em>t_{\alpha } = 1.729  

<em></em>M.E = \frac{1.729X 45}{\sqrt{20} }<em></em>

<em></em>M.E = \frac{77.805 }{4.472 } = 17.3982<em></em>

<em>c) 95% of confidence intervals are determined by</em>

<em></em>(x^{-} - t_{\alpha } \frac{S}{\sqrt{n} } , x^{-} + t_{\alpha } \frac{S}{\sqrt{n} } )<em></em>

<em></em>(107 -  1.729\frac{45}{\sqrt{20} } , 107 + 1.729\frac{45}{\sqrt{20} } )<em></em>

<em></em>(107 -  17.3982 } , 107 +17.3982 )<em></em>

<em></em>(89.6018 ,124.3982)<em></em>

<em>d)  </em>

<em>Lower limit of 95% of confidence interval  = 89.6018</em>

<em>upper limit of 95% of confidence interval  = 124.3982</em>

<em>The Population mean is lies between in these intervals</em>

<em></em>

<em></em>

4 0
3 years ago
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