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2 years ago

Change 2y-3+18 to the distributive property

Mathematics

1 answer:

Alexxandr [17]2 years ago

6 0

2(y-3) +18

That’s what it looks like

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Help me pls i really dk

kondaur [170]

I think its easier to work out part (c) first:-

People who liked anything except burger = 3/8 + 1/4 + 1/5 = 33/40

So the fraction who liked burgers = 7/40.

7/40 of the total liked burgers so total people surveyed = (40/7) * 126 = 720

ANswer to c is 720.

a) Number who liked chicken and laksa = (3/8 + 1/4) * 720 = 450 Answer

b) Number who liked pasta = 1/5 * 720 = 144

Therefore 144-126 = 18 more people liked pasta than burger , Answer.

7 0

2 years ago

I need these questions answered ASAP can you help me with 12,13,14 pls

melomori [17]

12.) m=26
19-(-7)/-1-(-2)=26

13.) 14
8-(-20)/5-3=14

14.) -4/5 is the slope
Count rise over run and always make sure whether to add a negative based on the direction of the line. In this situation, the line is negative so there is a negative sign present.

7 0

2 years ago

#14

Delicious77 [7]

Answer:

The answer is equivalent

5 0

2 years ago

Write the improper fraction as an improper 6 4/13

Contact [7]

Answer:

82/13

Step-by-step explanation:

3 0

2 years ago

A random sample of 864 births in a state included 426 boys. Construct a 95% confidence interval estimate of the proportion of bo

oksian1 [2.3K]

Using the z-distribution, it is found that the 95% confidence interval is (0.46, 0.526), and it does not provide strong evidence against that belief.

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions is given by:

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

In which:

$\pi$ is the sample proportion.

z is the critical value.

n is the sample size.

In this problem, we have a 95% confidence level, hence $\alpha = 0.95$ , z is the value of Z that has a p-value of $\frac{1+0.95}{2} = 0.975$ , so the critical value is z = 1.96.

We have that a random sample of 864 births in a state included 426 boys, hence the parameters are given by:

$n = 864, \pi = \frac{426}{864} = 0.493$

Then, the bounds of the interval are given by:

$\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.493 - 1.96\sqrt{\frac{0.493(0.507)}{864}} = 0.46$

$\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.493 + 1.96\sqrt{\frac{0.493(0.507)}{864}} = 0.526$

The 95% confidence interval estimate of the proportion of boys in all births is (0.46, 0.526). Since the interval contains 0.506, it does not provide strong evidence against that belief.

More can be learned about the z-distribution at brainly.com/question/25890103

4 0

2 years ago