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Musya8 [376]
3 years ago
15

For each line, state its slope and its y-intercept. 6y-2x=15

Mathematics
1 answer:
JulsSmile [24]3 years ago
8 0
Again same here, isolate the y variable to get it in y=mx+b form

6y=2x+15 divide by 6 to isolate the y and your equation is...

y=1/3x+15/6. Or 15/6 can be simplified to 5/2.
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Find the final amount of money in an account if
LuckyWell [14K]

Answer:

10213.33

Step-by-step explanation:

use the formula to answer this question

principal=7,200

rate=0.06

compounded anually=1

time=6

Hope it helped..

3 0
3 years ago
The inverse variation equation shows the relationship between wavelength in meters, x, and frequency, y
Cerrena [4.2K]

We have been given that the inverse variation y=\frac{3\times 10^8}{x} shows the relationship between wavelength in meters, x, and frequency, y. We are asked to find the wavelength for radio waves with frequency 3\times 10^9.

To find the required wavelength, we substitute y=3\times 10^9 in our given equation and solve for x as:

3\times 10^9=\frac{3\times 10^8}{x}

x=\frac{3\times 10^8}{3\times 10^9}

We can see that both numerator and denominator has 3, so we can cancel it out.

x=\frac{1\times 10^8}{1\times 10^9}

Using quotient rule of exponents \frac{a^m}{a^n}=a^{m-n}, we will get:

x=1\times 10^{8-9}

x=1\times 10^{-1}

Therefore, the wavelength for radio waves would be 1\times 10^{-1} meters and option B is the correct choice.

3 0
4 years ago
Read 2 more answers
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
Please Hurry!!<br> Consider the two-way table below.<br> Find P(BIC).
Colt1911 [192]

Answer: the answer is B, or P(B|C)=9/24=0.38

Step-by-step explanation:

If you look at the table, you can see that 9 is where BC is. So, 9 is the numerator. The denominator is 24 because that is the total number.

Also, I got this answer correct on Edge

6 0
3 years ago
Read 2 more answers
Find the standard deviation of 21, 31, 26, 24, 28, 26
Vesnalui [34]

Given the dataset

x = \{21,\ 31,\ 26,\ 24,\ 28,\ 26\}

We start by computing the average:

\overline{x} = \dfrac{21+31+26+24+28+26}{6}=\dfrac{156}{6}=26

We compute the difference bewteen each element and the average:

x-\overline{x} = \{-6,\ 5,\ 0,\ -2,\ 2,\ 0\}

We square those differences:

(x-\overline{x})^2 = \{36,\ 25,\ 0,\ 4,\ 4,\ 0\}

And take the average of those squared differences: we sum them

\displaystyle \sum_{i=1}^n (x-\overline{x})^2=36+25+4+4+0+0=69

And we divide by the number of elements:

\displaystyle \sigma^2=\dfrac{\sum_{i=1}^n (x-\overline{x})^2}{n} = \dfrac{69}{6} = 11.5

Finally, we take the square root of this quantity and we have the standard deviation:

\displaystyle\sigma = \sqrt{\dfrac{\sum_{i=1}^n (x-\overline{x})^2}{n}} = \sqrt{11.5}\approx 3.39

8 0
3 years ago
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