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algol13
2 years ago
13

Integrate (1-x³)² with respect to x​

Mathematics
2 answers:
Natasha_Volkova [10]2 years ago
7 0

\\ \sf\longmapsto {\displaystyle{\int}}(1-x^3)^2dx

\\ \sf\longmapsto {\displaystyle{\int}}(1-x^6+2x^3)dx

\\ \sf\longmapsto x-\dfrac{x^{6+1}}{6+1}+2\dfrac{x^{3+1}}{3+1}

\\ \sf\longmapsto x-\dfrac{x^7}{7}+2\dfrac{x^4}{4}

\\ \sf\longmapsto x-\dfrac{x^7}{7}+\dfrac{x^4}{2}

Tasya [4]2 years ago
3 0

Answer:

Start off by expanding the square:

x^6 -2x³ + 1.

Now, we can integrate it in dx:

∫x^6 - 2x^3 + 1 dx = ∫x^6 dx - 2∫x^3 dx + ∫1 dx = (x^7)/7 - 2((x^4)/4) + x = (x^7)/7 - (x^4)/2 + x.

That's the result!

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x = -7, 7

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Use words to write these number 200,000,000,525​
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A company maintains a large fleet of automobiles. To check the average number of miles driven per month, a random sample of 100
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Answer:

df=n-1=100-1=99  

Since is a two sided test the p value would be:  

p_v =2*P(t_{(99)}>2.7)=0.0082  

And since the p vaue is lower than the significance level we have enough evidence to reject the null hypothesis.

Step-by-step explanation:

Data given

\bar X=2690 represent the sample mean

s=360 represent the sample standard deviation

n=100 sample size  

\mu_o =2600 represent the value that we want to test

\alpha=0.05 represent the significance level for the hypothesis test.  

t would represent the statistic (variable of interest)  

p_v represent the p value for the test (variable of interest)  

System of hypothesis

We need to conduct a hypothesis in order to check if the true mean of interest is different from 2600, the system of hypothesis would be:  

Null hypothesis:\mu = 2600  

Alternative hypothesis:\mu \neq 2600  

The statistic is given by:

t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}}  (1)  

Calculate the statistic

The statistic for this case is given t_{calc}=2.7

P-value

The first step is calculate the degrees of freedom, on this case:  

df=n-1=100-1=99  

Since is a two sided test the p value would be:  

p_v =2*P(t_{(99)}>2.7)=0.0082  

And since the p vaue is lower than the significance level we have enough evidence to reject the null hypothesis.

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3 years ago
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