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miskamm [114]
2 years ago
13

Please solve by factorising

Mathematics
2 answers:
Vladimir [108]2 years ago
8 0
X = 3/2 or x = 1. One of those two lol
Inessa [10]2 years ago
4 0

Answer:

x = \frac{3}{2} or x = 1

Step-by-step explanation:

Hope this helps!

:)

brainliest?

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L=wh/a(w+p) Make w the subject of the formula​
Anvisha [2.4K]

Answer:

w = lap/ h - la

Step-by-step explanation:

1 Multiply both sides by a(w+p)a(w+p).

la(w+p)=wh

2 Expand.

law+lap=wh

3 Subtract law from both sides.

lap=wh-law

4 Factor out the common term w.

lap=w(h-la)

5 Divide both sides by h-la.

lap/h - la = w

6 Switch sides.

w = lap/ h - la

6 0
2 years ago
a. So far, she has collected 432 signatures. This is 36% of the number of signatures she needs. How many signatures does Sarita
erma4kov [3.2K]

Answer:

1200 signatures are needed

Step-by-step explanation:

t = total number of signatures

t * 36% = 432

Change to decimal form

.36t = 432

Divide each side  by .36

.36t/.36 = 432/.36

t =1200

1200 signatures are needed

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
2 years ago
Having trouble with this
Agata [3.3K]

Answer:

Step-by-step explanation:

13

6 0
1 year ago
A hot air balloon was at a height of 2180 feet It designated at a rate of 150 feet per minute for 6 minutes. Find it’s height
OleMash [197]
2,180 - 150 • m

2,180- 150 • 6 =
2180- 900=m
1280=m
3 0
2 years ago
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