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Alenkasestr [34]
3 years ago
6

Find the nth maclaurin polynomial for the function. f(x) = 5x − 5 x + 1 , n = 4 p4(x)

Mathematics
1 answer:
zysi [14]3 years ago
7 0
Assuming the function is f(x)=\dfrac{5x-5}{x+1}, and not 5x-5x+1=1 which would be its own Maclaurin polynomial right away.

\dfrac{5x-5}{x+1}=\dfrac{5(x-1)}{x+1}=\dfrac{5(x+1-2)}{x+1}=5-\dfrac{10}{1+x}

Recall the geometric power series,

\displaystyle\sum_{n=0}^\infty x^n=\frac1{1-x}

where |x|. Replace x\mapsto-x and we have

\displaystyle\sum_{n=0}^\infty (-x)^n=\frac1{1+x}

and so

f(x)=5-10\displaystyle\sum_{n=0}^\infty(-x)^n

We want the 4th degree polynomial, so

p_4(x)=-5+10x-10x^2+10x^3-10x^4
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C

Step-by-step explanation:

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Can someone help me find the domain of this function please ?
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3 years ago
9y^-5/3y^2r^-3 what is the answer in a fraction​
allsm [11]

Answer:

3r^3/y^7.

Step-by-step explanation:

9y^-5 / 3y^2r^-3

9 / 3 = 3

y ^-5 / y^2 = y^-7 = 1 / 7y

1 / r^-3 = r^3

So the answer is 3r^3/y^7.

8 0
3 years ago
A psychological experiment was conducted to investigate the length of time (time delay) between the administration of a stimulus
aleksklad [387]

Answer:

The P-value of this sample is 0 and is less than the significance level (0.05), so the effect is significant and the null hypothesis is rejected.

As there is significant evidence to reject H_0: \mu= 1.6, we can say that there is significant evidence to claim that the mean time delay for the hypothetical population of all persons who may be subjected to the stimulus differs from 1.6 seconds.

The significance level for this test is 0.05.

Step-by-step explanation:

In this case, we want to prove if there is significant evidence that the mean differs from 1.6 seconds. That is the same as having evidence to reject the the hypothesis H_0:\mu= 1.6 (the null hypothesis always have the equal sign).

We have to test the null hypothesis

H_0:\mu= 1.6

The significance level for this test is 0.05

Calculation of the t-statistic:

t=\frac{M-\mu}{s/\sqrt{n}} =\frac{2.2-1.6}{0.57/\sqrt{36}} =\frac{0.6}{0.063}= 9.47

If we look up in a t-table for t=9.47 and df=(36-1)=35, we get this value appears with a probability of zero. A large number like that is very unlikely to happen.

The P-value of this sample is 0 and is less than the significance level (0.05), so the effect is significant and the null hypothesis is rejected.

As there is significant evidence to reject H_0: \mu= 1.6, we can say that there is significant evidence to claim that the mean time delay for the hypothetical population of all persons who may be subjected to the stimulus differs from 1.6 seconds.

6 0
3 years ago
How can 400x20 help solve 399x20
Dvinal [7]
What you can do is multiply 400*20= 8,000. From here, we know that 399*20 is just one less group of 20 than 400. Therefore, we can subtract (1*20) from 8,000 to get the final answer.

8000-20=7980

Hope this helps!
5 0
4 years ago
Read 2 more answers
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