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Delicious77 [7]
3 years ago
11

Please answer ASAP. Will reward Brainliest Answer to first, correct answer, with explanation!

Mathematics
1 answer:
Vsevolod [243]3 years ago
3 0

Answer:

1.C

2.A

3.D

4.C

5.B

6.A


Step-by-step explanation:


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Which expressions are equivalent to
Paladinen [302]

Answer: 30/40+16/40 and 15/20+8/20 pls mark brainliest

Step-by-step explanation:

You know that 3/4+2/5=23/20.

Now select the other expressions equal to that. They are: 30/40+16/40 and 15/20+8/20

8 0
3 years ago
Helllllllllllllllllllllllppppppppppp
irinina [24]

Answer:

12.35

Step-by-step explanation:

   95

  *13

____

 285

+950

____

1235

then you need to move the decimal number 2 spaces, because you removed a total of 2 space from the original numbers.

12.35

4 0
2 years ago
Read 2 more answers
The median of a data set is the measure of center______.
ki77a [65]

Answer:

C.

Step-by-step explanation:

6 0
2 years ago
Write the words for the expression 3x(6-1)
fgiga [73]

Answer:

three <em>multipl</em><em>i</em><em>e</em><em>d</em><em> </em>by six <em>m</em><em>i</em><em>n</em><em>u</em><em>s</em><em> </em>one in <em>parentheses</em><em> </em>

Step-by-step explanation:

For the last part aka (6-1) just say that 6-1 is in parenthesis

Hope this helpss!! :DD♡

5 0
3 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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