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3 years ago

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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Please help with this Khan Question :)

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

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.

Hope it helps! :)

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

7 0

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

cpq = 12x+57

cpq = 78 + 57

cpq = 135

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