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UkoKoshka [18]
2 years ago
14

PLEASE HELP ME I WILL GIVE BRAINLEST

Mathematics
1 answer:
Gala2k [10]2 years ago
6 0
What is this it’s so hard
You might be interested in
Can someone help out ??
kupik [55]

Answer:

120 cubes

Step-by-step explanation:

Find the volume of the prism and then divide it by the volume of one cube (which is 1/27 cm):

V = length*width*height = (5/3 cm)(4/3 cm)(2 cm) = 40/9 cm³.

Dividing this result by 1/27 yields

40       27         40*3    

------ * ------ = -------------- = 120

  9        1               1

120 cubes (answer)

7 0
3 years ago
1. What is the value of x?
sergij07 [2.7K]

Answer:

d and ef

Step-by-step explanation:

efwfnhew'foehfnwekf;esf

7 0
3 years ago
when you divide a fraction less than 1 by a whole number greater than 1, is the quotient less than, greater than, or equal to th
ratelena [41]

Answer:

less than

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
Please show work . . .
Alenkasestr [34]

Answer:

19.64

the permieter is 5 so 5/2=2.5 2.5x2.5=6.25 6.25x3.14=19.64

8 0
3 years ago
Reading proficiency: An educator wants to construct a 99.5% confidence interval for the proportion of elementary school children
Shkiper50 [21]

Answer:

A sample size of 345 is needed so that the confidence interval will have a margin of error of 0.07

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error of the interval is given by:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

In this problem, we have that:

p = 0.69

99.5% confidence level

So \alpha = 0.005, z is the value of Z that has a pvalue of 1 - \frac{0.005}{2} = 0.9975, so Z = 2.81.

Using this estimate, what sample size is needed so that the confidence interval will have a margin of error of 0.07?

This is n when M = 0.07. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.07 = 2.81\sqrt{\frac{0.69*0.31}{n}}

0.07\sqrt{n} = 1.2996

\sqrt{n} = \frac{1.2996}{0.07}

\sqrt{n} = 18.5658

(\sqrt{n})^{2} = (18.5658)^{2}

n = 345

A sample size of 345 is needed so that the confidence interval will have a margin of error of 0.07

4 0
3 years ago
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