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storchak [24]
3 years ago
14

Help

Mathematics
2 answers:
Dafna11 [192]3 years ago
7 0
X
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5

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5
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√
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,
−
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,
5
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8
Karolina [17]3 years ago
3 0

Answers:

  • The two complex or imaginary roots x = i\sqrt{5} and x = -i\sqrt{5} have multiplicity 2.
  • The two real roots x = 5 and x = -5 have multiplicity 3
  • The root x = 8 has multiplicity 4

======================================================

Explanation:

We'll use the zero product property to solve.

3(x^2+5)^2(x^2-25)^3(x-8)^4 = 0\\\\(x^2+5)^2=0 \text{ or } (x^2-25)^3=0 \text{ or } (x-8)^4 = 0\\\\x^2+5=0 \text{ or } x^2-25=0 \text{ or } x-8 = 0\\\\x^2=-5 \text{ or } x^2=25 \text{ or } x = 8\\\\x=\pm\sqrt{-5} \text{ or } x=\pm\sqrt{25} \text{ or } x = 8\\\\x=\pm i\sqrt{5} \text{ or } x=\pm 5 \text{ or } x = 8\\\\

where i = \sqrt{-1}

----------------------

The notation x=\pm i\sqrt{5} breaks up into x=i\sqrt{5} \text{ or } x=-i\sqrt{5}. The multiplicity of these two roots is 2 as it's the exponent of the factor (x^2+5)^2. Focus on the outermost exponent.

The notation x = \pm 5 becomes x = 5 \text{ or } x = -5. The multiplicity of these two roots is 3 since it's the outermost exponent of the factor (x^2-25)^3

And finally, the multiplicity of the root x = 8 is 4 because it is the outermost exponent of the factor (x-8)^4

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Step-by-step explanation:

Data given and notation

n=502 represent the random sample taken

X=331 represent the adults that said they would not be bothered if the NAtional security agency

\hat p=\frac{331}{502}=0.659 estimated proportion of people who would not be bothered if the NAtional security agency

p_o=0.5 is the value that we want to test

\alpha=0.01 represent the significance level

Confidence=99% or 0.99

z would represent the statistic (variable of interest)

p_v represent the p value (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the true proportion is higher than the majority of 0.5:  

Null hypothesis:p\leq 0.5  

Alternative hypothesis:p > 0.5  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}} (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly different from a hypothesized value p_o.

Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.659 -0.5}{\sqrt{\frac{0.5(1-0.5)}{502}}}=7.124  

Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level provided \alpha=0.01. The next step would be calculate the p value for this test.  

Since is a right tailed test the p value would be:  

p_v =P(z>7.124)=5.24x10^{-13}  

So the p value obtained was a very low value and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of interest is significantly higher than 0.5.  

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