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Rashid [163]
3 years ago
5

Answer all of these for 100 points

Mathematics
1 answer:
KiRa [710]3 years ago
8 0

Answer:

Step-by-step explanation:

37) Take two point from the line.

(2 , 0)  & (0,4)

Slope = \frac{y_{2}-y_{1}}{x_{2}-x_{1}}\\\\=\frac{4-0}{0-2}\\\\=\frac{4}{-2}\\\\=-2

Slope = (-2)

38)  (7 , 0) & (3 , 2)

Slope = \frac{2-0}{3-7}\\\\=\frac{2}{-4}\\\\=\frac{-1}{2}

39) The line is parallel to x-axis and so its slope is 0

Slope = 0

40) The line is parallel to y-axis and so its slope is undefined

Slope = undefined

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Evaluate the expression (-20)-17=​
bazaltina [42]
It’s -37 because -20-17=-37
7 0
3 years ago
Can someone PLEASE explain how to simplify square roots with variables and eexponents in them?? I'd also be thankful if you expl
Verizon [17]
X^a/b is  \sqrt[b]{x^a} . The way I memorise that is x^1/3 is the cubic root of x. Do you get it? In that case, x is raised to a power of 1 and the cubic root is practically has a power of 3.
In your example, 

\sqrt[ \frac{3}{2} ]{16 x^4} is practically square rooting each term then cubing them individually. Remember when square-rooting any index you halve it. I'll elaborate:

\sqrt{x^4} = x^{2}
\sqrt{16} = 4
Then cube each,
4^3 = 64 
and ( x^{2} )^3 = x^{6}

As for the 2nd part: you must use the rules of indices.
x^{a}  *  x^{b} =  x^{a+b}
So breaking the question up:

3 * 3 = 9
x^{ \frac{1}{2} } stays as is since the 2nd term does not contain x
now: 
y^{ \frac{4}{3} }  * y^{1} =  y^{ \frac{4}{3} + 1 }  =  y^{ \frac{4}{3} +  \frac{3}{3} }  =   y^{ \frac{7}{3} }
This makes your final answer look like this:
9 x^{ \frac{1}{2} }  y^{ \frac{7}{3} }

I hope that helped and good luck in your test!
4 0
4 years ago
The NWBC found that 42.1% of women-owned businesses provided retirement plans contributions.
Natasha_Volkova [10]

Answer:

Sample size of 586 or higher.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of \pi, and a confidence level of 1-\alpha, we have the following confidence interval of proportions.

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

In which

z is the zscore that has a pvalue of 1 - \frac{\alpha}{2}.

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

95% confidence level

So \alpha = 0.05, z is the value of Z that has a pvalue of 1 - \frac{0.05}{2} = 0.975, so Z = 1.96.

What sample size could be 95% confident that the estimated (sample) proportion is within 4 percentage points of the true population proportion?

Sample size of at least n when M = 0.04

42.1% of women-owned businesses provided retirement plans contributions, which means that p = 0.421. So

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.04 = 1.96\sqrt{\frac{0.421*0.579}{n}}

0.04\sqrt{n} = 0.9677

\sqrt{n} = \frac{0.9677}{0.04}

\sqrt{n} = 24.19

\sqrt{n}^{2} = (24.19)^(2)

n = 585.2

We need a sample size of 586 or higher.

3 0
3 years ago
Please help me due tonight I will give you brainliest
FromTheMoon [43]

Answer:

x=10

Step-by-step explanation:

First square root 36 cm^2

Then you square both 8 and 6

Then you square root the sum of the two numbers.

This is called Pythagorean Theorem, which can be shown as a^2 + b^2 = c^2

6 0
3 years ago
Read 2 more answers
In a survey of sleeping habits, 8400 adults were selected randomly and contacted by telephone. Based on a medical association's
Andreas93 [3]

Answer:

d. None of the above.

Step-by-step explanation:

<em>a. By the law of large numbers, it would again be 46%. </em>

FALSE. This proportion (46%) is a sample statistic, that can or can not be repeated in another sample.

<em>b. By the law of large numbers, the smaller (second) survey will certainly produce a sample proportion farther from the true population proportion than the larger (first) survey. </em>

FALSE. Smaller samples will produce wider confidence intervals for the estimation of the population proportion, but larger samples does not necessarily gives us better point estimations of the true proportion. A small sample can be closer to the true proportion than a large sample, although is less probable.

<em>c. The proportion computed from the sample of 5000 people would be more accurate because smaller samples tend to be more homogeneous than larger samples. </em>

FALSE. There is no evidence to claim that smaller samples are more homogeneous.

<em>d. None of the above.</em> TRUE

6 0
3 years ago
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