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madam [21]
3 years ago
6

Part B

Mathematics
2 answers:
DochEvi [55]3 years ago
6 0

Answer:

Germany

Step-by-step explanation:

Germany has the tallest mean height for adult males, with a mean of 178 centimeters. South Korea had the shortest mean height for adult males, with a mean of 170.72 centimeters.

ArbitrLikvidat [17]3 years ago
4 0

Answer:Germany

Step-by-step explanation:

Idk

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astraxan [27]

Answer:

the answer is A

Step-by-step explanation:

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2 years ago
Need help will give brainliest i am timed answer in 20 minutes
Artist 52 [7]

Answer:

121

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The axis of symmetry is the line x= 6

The parabola opens downwards.

The value of h when the equation is in vertex form is positive.

Step-by-step explanation:

In the pictures.

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3 0
1 year ago
Deposit $500 4% interest 2 years
STatiana [176]

Are you looking for the amount after interest gained? If so I believe the answer would be $40.

500 x 0.04 x 2 = 40

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3 years ago
Please help, and plz don't be saying this is the right answer if u dont know for sure.
zepelin [54]

Answer:

135 degrees

Step-by-step explanation:

(8x-7)+(12x+57)=180

combine like terms

20x+50 = 180

subtract 50 on both sides

20x = 130

divide by 20

x = 130/20

x = 13/2

x = 6.5

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4 0
2 years ago
A random variable X follows the uniform distribution with a lower limit of 670 and an upper limit of 750.a. Calculate the mean a
DENIUS [597]

You can compute both the mean and second moment directly using the density function; in this case, it's

f_X(x)=\begin{cases}\frac1{750-670}=\frac1{80}&\text{for }670\le x\le750\\0&\text{otherwise}\end{cases}

Then the mean (first moment) is

E[X]=\displaystyle\int_{-\infty}^\infty x\,f_X(x)\,\mathrm dx=\frac1{80}\int_{670}^{750}x\,\mathrm dx=710

and the second moment is

E[X^2]=\displaystyle\int_{-\infty}^\infty x^2\,f_X(x)\,\mathrm dx=\frac1{80}\int_{670}^{750}x^2\,\mathrm dx=\frac{1,513,900}3

The second moment is useful in finding the variance, which is given by

V[X]=E[(X-E[X])^2]=E[X^2]-E[X]^2=\dfrac{1,513,900}3-710^2=\dfrac{1600}3

You get the standard deviation by taking the square root of the variance, and so

\sqrt{V[X]}=\sqrt{\dfrac{1600}3}\approx23.09

8 0
3 years ago
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