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Vedmedyk [2.9K]
3 years ago
5

Please help its for a test and this is the only question im stuck on Tysm and have a great day.c:

Mathematics
2 answers:
Sonja [21]3 years ago
6 0

Answer:

77.28

Step-by-step explanation:

ss7ja [257]3 years ago
4 0
77.28

Trick: Multiple 168 x 460 and then move the decimal by two.
Ex: 168 x 460 = 77,28. Move it by two places 77.28
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Please do the equation and cost for 15 people
Lunna [17]

Answer:

24

Step-by-step explanation:

Because the C represents the 4 let 24 represent the answer.

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3 years ago
What is f(-2)?<br> -3 <br> -1<br> 1<br> 3
Dima020 [189]

Answer:

nc

Step-by-step explanation:

ccccdcdc

7 0
3 years ago
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The question is............
irina1246 [14]
A(n,s)=(ns^2)/(4tan(180/n)), n=number of sides, s=side length

A(8,4.6)=(8*4.6^2)/(4tan22.5)

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7 0
3 years ago
Which is the most accurate way to estimate 66% of 14?
Svetlanka [38]

Answer:

9.1

Step-by-step explanation:

Typically when a question starts with which that means there are several options to choose from. Or multiple choice. Since you haven't provided that here, I'll tell you how I would estimate it.

50% of 14 is 7

10% of 14 is 1.4

5% of 14 is 1/2 of 10% of 14 which is 0.7

50% + 10% + 5% = 65%

Add them together: 7+1.4+0.7 = 9.1

6 0
2 years ago
In a random sample of 45 newborn babies, what is the probability that 40% or fewer of the sample are boys. (Use 3 decimal places
erastova [34]

Answer:

z= \frac{p- \mu_p}{\sigma_p}

And the z score for 0.4 is

z = \frac{0.4-0.4}{\sigma_p} = 0

And then the probability desired would be:

P(p

Step-by-step explanation:

The normal approximation for this case is satisfied since the value for p is near to 0.5 and the sample size is large enough, and we have:

np = 45*0.4= 18 >10

n(1-p) = 45*0.6= 27 >10

For this case we can assume that the population proportion have the following distribution  

p \sim N(p,\sqrt{\frac{p(1-p)}{n}})

Where:

\mu_{p}= \hat p = 0.4

\sigma_p = \sqrt{\frac{p(1-p)}(n} =\sqrt{\frac{0.4(1-0.4)}(45}= 0.0703

And we want to find this probability:

P(p

And we can use the z score formula given by:

z= \frac{p- \mu_p}{\sigma_p}

And the z score for 0.4 is

z = \frac{0.4-0.4}{\sigma_p} = 0

And then the probability desired would be:

P(p

7 0
3 years ago
Read 2 more answers
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