Is 2/9 a perfect square

Convert to slope intercept form: <br> 6x-3y=96x−3y=9<br><br> with steps please!!

Drupady [299]

Answer:

y = 2x - 3

Step-by-step explanation:

Slope intercept form : y = mx + b

6x - 3y = 9

-3y = -6x + 9

$\frac{-3}{-3}y=\frac{-6}{-3}x+\frac{9}{-3}\\\\$

y = 2x - 3

5 0

3 years ago

What is the area of this rectangle and perimeter. ASAP!!!

MA_775_DIABLO [31]

area = 196cm^2
perimeter = 70 cm

hope this helps x

7 0

3 years ago

A garden table and a bench cost $1004 combined. The garden table costs $54 more than the bench. What is the cost of the bench?

tatiyna

Answer:

The bench cost $556.

Step-by-step explanation:

divide $1004 by 2. (equals 502)
subtract 54 from 502 which equals 448.
1004-448=556
check your math with 556+448=1004
$556 is the cost of the bench.

8 0

3 years ago

A pew research Center project on the state of news media showed that the clearest pattern of news audience growth in 2012 came o

KengaRu [80]

Answer:

Step-by-step explanation:

Given that:

the sample proportion p = 0.39

sample size = 100

Then np = 39

Using normal approximation

The sampling distribution from the sample proportion is approximately normal.

Thus, mean $\mu _{\hat p} = p = 0.39$

The standard deviation;

$\sigma = \sqrt{\dfrac{p(1-p)}{n} }$

$\sigma = \sqrt{\dfrac{0.39(1-0.39)}{100} }$

$\sigma = 0.048$

The test statistics can be computed as:

$Z = \dfrac{{\hat _{p}} - \mu_{_ {\hat p}} }{\sigma_{\hat p}}$

$Z = \dfrac{0.3 - 0.39 }{0.0488}$

$Z = -1. 8 4$

From the z - tables;

$P (\hat p \le 0.3 ) = P(z \le -1.84)$

$\mathbf{P (\hat p \le 0.3 ) = 0.0329}$

(b)

Here;

the sample proportion = 0.39

the sample size n = 400

Since np = 400 * 0.39 = 156

Thus, using normal approximation.

From the sample proportion, the sampling distribution is approximate to the mean $\mu_{\hat p} = p = 0.39$

the standard deviation $\sigma_{\hat p} = \sqrt{\dfrac{p(1-p)}{n} }$

$\sigma_{\hat p} = \sqrt{\dfrac{0.39 (1-0.39)}{400} }$

$\sigma_{\hat p} =0.0244$

The test statistics can be computed as:

$Z = \dfrac{{\hat _{p}} - \mu_{_ {\hat p}} }{\sigma_{\hat p}}$

$Z = \dfrac{0.3 - 0.39 }{0.0244}$

$Z = -3.69$

From the z - tables;

$P (\hat p \le 0.3 ) = P(z \le -3.69)$

$\mathbf{P (\hat p \le 0.3 ) = 0.0001}$

(c) The effect of the sample size on the sampling distribution is that:

As sample size builds up, the standard deviation of the sampling distribution decreases.

In addition to that, reduction in the standard deviation resulted in increases in the Z score, and the probability of having a sample proportion that is less than 30% also decreases.

6 0

3 years ago

Quick! Anyone know this geometry question?

WARRIOR [948]

The correct answer is C.

5 0

3 years ago

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