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4 years ago

Find the length indicated

Mathematics

1 answer:

tankabanditka [31]4 years ago

8 0

you need subtract 19 and 7 and answer is 12 then you know that 15 is start of HK then add 15 and 12

I think the answer is 27

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Nataliya [291]

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3 years ago

Read 2 more answers

A teacher reviews 4-1/2 papers per hour, how many papers will that teacher review in 6-1/3 hours

MrRa [10]

Answer:

$28\frac{1}{2}\ papers$

Step-by-step explanation:

step 1

Convert mixed numbers to an improper fractions

$4\frac{1}{2}=\frac{4*2+1}{2}=\frac{9}{2}$

$6\frac{1}{3}=\frac{6*3+1}{3}=\frac{19}{3}$

step 2

we know that

A teacher reviews 9/2 papers per hour

using proportion

Find how many papers will the teacher review in 19/3 hours

Let

x-----> the number of papers

$(9/2)/1=x/(19/3)$

$x=(19/3)(9/2)$

$x=28.5\ papers$

Convert to mixed numbers

$28.5=28\frac{1}{2}\ papers$

5 0

3 years ago

Help please and fast!

LenaWriter [7]

Cubed root (x^2) I can’t add the radical here but it would be the 3radical(x^2)

4 0

3 years ago

Please help this is due, not sure if I did this right. Triangle ABC is shown below with vertices A (7,4), B(1,1), and C(9,0). Fi

Paha777 [63]

i think u did it right

5 0

3 years ago

The distribution of blood cholesterol level in the

qaws [65]

Answer: A. Mean of sampling means $=\mu=168\ Mg/dl$

Standard deviation of sampling means = $2.86\ mg/dl$

B. The probability that your sample has mean less than 165 is 0.1492 .

Given : The distribution of blood cholesterol level in the

population of young men aged 20 to 34 years is close to normal with

mean $\mu= 168$ Mg/dl and standard deviation $\sigma= 35$ mg/dl.

Sample size : n= 150

Let $\overline{x}$ sample mean values.

A. The mean and the standard deviation of the distribution of the sampling means would be :

Mean of sampling means = $\mu=168\ Mg/dl$

Standard deviation of sampling means = $\dfrac{\sigma}{\sqrt{n}}=\dfrac{35}{\sqrt{150}}$

$=\dfrac{35}{12.2474487}\\\\=2.85773803649\approx2.86\ mg/dl$

The probability that your sample has mean less than 165 would be

$P(\overline{x}$

Hence , the probability that your sample has mean less than 165 is 0.1492 .

7 0

3 years ago