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snow_tiger [21]
4 years ago
13

URGENT. WILL MARK BRAINLIEST IF CORRECT!!!

Mathematics
1 answer:
pentagon [3]4 years ago
5 0

Answer:

The answer is A

Step-by-step explanation:

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Item 5<br> Write 77.5% as a fraction or mixed number in simplest form.
jeyben [28]

<span>77.5% can also be written as 77.5/100, but if you're the mathematical notation police, people don't like decimals on a fraction, sooo, an equivalent form is: </span>

<span>
 = (77.5)/(100) * (2/2)
= 155/200
= 31/40
= 0 31/40 </span>

5 0
3 years ago
If y = 3x+b intersects y= mx +3 at (2, 3), find the value of b and m.
Darina [25.2K]

Answer:

The value of b is -3 and m is 0.

Step-by-step explanation:

You have to substitute the coordinates into both equation in order to find m and b value :

Find m,

y = mx + 3

At (2,3),

3 = m(2) + 3

3 - 3 = 2m

2m = 0

m = 0

Find b,

y = 3x + b

At (2,3),

3 = 3(2) + b

b + 6 = 3

b = 3 - 6

b =  - 3

3 0
3 years ago
Read 2 more answers
I need help thank you
Serga [27]

Answer:

C i think

Step-by-step explanation:

pls mark brainlyest

4 0
3 years ago
Read 2 more answers
What is the slope of a line represented by the equation 2y = × - 4?
IrinaVladis [17]
Y=mx+b is the slope intercept form where m=slope and b=y intercept

so
2y=x-4
divide both sides by 2
y=1/2x-2
slope is 1/2
4 0
3 years ago
Read 2 more answers
A random sample of 200 shoppers at a local grocery store found that 135 of the 200 sampled
VMariaS [17]

Using the z-distribution, as we are working with a proportion, it is found that samples of 937 should be taken.

<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.

The margin of error is given by:

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

In this problem, we have that:

  • The estimate is of \pi = 0.675.
  • The margin of error is of M = 0.03.
  • 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 z = 1.96.

Then, we solve for n to find the minimum sample size.

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

0.03 = 1.96\sqrt{\frac{0.675(0.325)}{n}}

0.03\sqrt{n} = 1.96\sqrt{0.675(0.325)}

\sqrt{n} = \frac{1.96\sqrt{0.675(0.325)}}{0.03}

(\sqrt{n})^2 = \left(\frac{1.96\sqrt{0.675(0.325)}}{0.03}\right)^2

n = 936.4

Rounding up, it is found that samples of 937 should be taken.

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

4 0
2 years ago
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