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2 years ago

Using the quadratic formula I can't remember what to do next

Mathematics

1 answer:

Advocard [28]2 years ago

4 0

Answer: you square root it.

5r^2/5 = 80/5 =16

Sqr root of r^2=Sqr root of 16

r=4

Step-by-step explanation:

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enot [183]

The answer for this question is A. True.

I hope that this helped!

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2 years ago

to print tickets, a printer charges $45 setup fee plus $2.00 per ticket. Write an algebraic expression for the cost of t tickets

Cerrena [4.2K]

Answer:

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2 years ago

If no sides of a triangle have the same length, the triangle is called scalene

xxTIMURxx [149]

Answer:

a. isosceles

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2 years ago

Help me please !!!!!!

kirill115 [55]

Answer:

The y-int represents the base price of $200 for airfare from NYC

The slope represents a cost of 30 cents per mile traveled

If the base cost for airfare changed to $50 and the cost per mile is unchanged, the new equation would be y=50+0.30x

If the cost per mile changed to 50 cents, the new equation would be y=200+0.50x

5 0

2 years ago

The dwarves of the Grey Mountains wish to conduct a survey of their pick-axes in order to construct a 99% confidence interval ab

Dmitry_Shevchenko [17]

Answer:

The minimum sample size needed is 125.

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:

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

For this problem, we have that:

$\pi = 0.25$

99% confidence level

So $\alpha = 0.01$ , z is the value of Z that has a pvalue of $1 - \frac{0.01}{2} = 0.995$ , so $Z = 2.575$ .

What minimum sample size would be necessary in order ensure a margin of error of 10 percentage points (or less) if they use the prior estimate that 25 percent of the pick-axes are in need of repair?

This minimum sample size is n.

n is found when $M = 0.1$