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Ne4ueva [31]
3 years ago
12

Help or else i will call Ghost busters!

Mathematics
1 answer:
statuscvo [17]3 years ago
7 0

Answer:

A.

Step-by-step explanation:

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Integral pls i couldnt​
olga nikolaevna [1]

Simplify the integrand:

\dfrac{4x^4 + 3x^2 + 5x}{x^2} = 4x^2 + 3 + \dfrac5x

Now integrate one term at a time.

\displaystyle \int 4x^2 \, dx = \frac43 x^3 + C

\displaystyle \int 3 \, dx = 3x + C

\displaystyle \int \frac5x \, dx = 5 \ln|x| + C

Putting everything together,

\displaystyle \int \frac{4x^4 + 3x^2 + 5x}{x^2} \, dx = \int \left(4x^2 + 3 + \frac5x\right) \, dx = \boxed{\frac43 x^3 + 3x + 5 \ln|x| + C}

5 0
2 years ago
someone help on the "how did basil know" part before i sue and quit school. i just wanna sleep it's 12 am.
PtichkaEL [24]
Well, the last digit in the product will only come from the last digits of the numbers that you're multiplying together. So for 0.303 & 4.48, that last digits are 3 & 8 so that last digit in the product would come from
3 \times 8 = 24
So 4. There are only two options that end in 4, 1.35744 & 0.13574. You can by the magnitude of the numbers that it isn't as small as 0.13574 so the answer must be 1.35744.
4 0
3 years ago
Triangle DEF has vertices located at D (2, 1), E (3, 5), and F (6, 2). Find the length of each side of the triangle.
rosijanka [135]
6,2 is the answer for this
8 0
3 years ago
A quality control engineer at a potato chip company tests the bag filling machine by weighing bags of potato chips. Not every ba
Ahat [919]

Answer:

z=\frac{0.21 -0.15}{\sqrt{\frac{0.15(1-0.15)}{100}}}=1.68  

Step-by-step explanation:

Information provided

n=100 represent the random sample taken

X=21 represent the number of bags overfilled

\hat p=\frac{21}{100}=0.21 estimated proportion of overfilled bags

p_o=0.15 is the value that we want to test

z would represent the statistic

Hypothesis

We need to conduct a hypothesis in order to test if the true proportion of overfilled bags is higher than 0.15.:  

Null hypothesis:p =0.7  

Alternative hypothesis:p > 0.15  

The statistic for this case is:

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

And replacing the info given we got:

z=\frac{0.21 -0.15}{\sqrt{\frac{0.15(1-0.15)}{100}}}=1.68  

5 0
3 years ago
Can someone check my answers
Lelechka [254]
The first image with the answers are right but the second image is blank
8 0
3 years ago
Read 2 more answers
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