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AlladinOne [14]
3 years ago
13

(×2+1)(x3+2x)(x2+4x-16i-4xi) Solve for the roots in equation

Mathematics
1 answer:
NISA [10]3 years ago
7 0
\bf (x^2+1)(x^3+2x)(x^2+4x-16i-4xi)=0\\\\
-------------------------------\\\\
x^2+1=0\implies x^2=-1\implies x=\sqrt{-1}\implies x=i\\\\
-------------------------------\\\\
x^3+2x=0\implies x(x^2+2)=0\implies 
\begin{cases}
x=0\\
-------\\
x^2+2=0\\
x^2=-2\\
x=\sqrt{-2}\\
x=\sqrt{2\cdot -1}\\
x=\sqrt{2}\cdot \sqrt{-1}\\
x=i~\sqrt{2}
\end{cases}\\\\
-------------------------------\\\\

\bf x^2+4x-16i-4xi=0\implies (x^2+4x)~-~(16i+4xi)=0
\\\\\\
(x^2+4x)~-~(4xi+16i)=0\implies x(x+4)~-~4i(x+4)=0
\\\\\\
\stackrel{common~factor}{(x+4)}(x-4i)=0\implies 
\begin{cases}
x+4=0\\
x=-4\\
-----\\
x-4i=0\\
x=4i
\end{cases}
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Label the following graph as vertical or horizontal:
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The answer is vertical.
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Mr. Rudd built a cabin with 351 logs, and his friend built a cabin with 113 logs. About how many logs did the two of them use
seropon [69]

Answer:

464

Step-by-step explanation:

351 + 113. Add them both together to get your answer.

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3 years ago
A sample of 1200 computer chips revealed that 45% of the chips fail in the first 1000 hours of their use. The company's promotio
yaroslaw [1]

Answer:

z=\frac{0.45 -0.48}{\sqrt{\frac{0.48(1-0.48)}{1200}}}=-2.08

p_v = P(Z

So the p value obtained was a low value and using the significance level given \alpha=0.05 we see that 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 chips that fail in the first 1000 hours of their use is not significantly less than 0.48.   

Step-by-step explanation:

Data given and notation

n=1200 represent the random sample taken

\hat p=0.45 estimated proportion of chips that fail in the first 1000 hours of their use

\mu_0 =0.48 is the value that we want to test

\alpha=0.05 represent the significance level

Confidence=95% or 0.95

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 si less then 0.48:  

Null hypothesis:p\geq 0.48  

Alternative hypothesis:p < 0.48  

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  is significantly different from a hypothesized value .

Calculate the statistic  

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

z=\frac{0.45 -0.48}{\sqrt{\frac{0.48(1-0.48)}{1200}}}=-2.08

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=0.05. The next step would be calculate the p value for this test.  

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

p_v = P(Z

So the p value obtained was a low value and using the significance level given \alpha=0.05 we see that 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 chips that fail in the first 1000 hours of their use is not significantly less than 0.48.  

6 0
4 years ago
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timama [110]

Step-by-step explanation:

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Here is my answer. Let just give assumptions. For example,the relationship is linear.Therefore the slope, "m," is the same throughout.
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m = 9.5
 
profit = 9.5 patrons (you pick the variable names)
For 1 more patron substitute 1:
profit = 9.5 (1)
profit = 9.5
 
Isolate "patrons" and you get the function based on profit:
patrons = profit/9.5
 
The break even point is for 0 < profit.
0 < profit = 9.5 patrons
0 < 9.5 patrons
0 < patron
5 0
3 years ago
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