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2 years ago

10 Raised to zero power

Mathematics

2 answers:

AlexFokin [52]2 years ago

6 0

Answer: 1

Explanation: Anything of a number that is raised to the zero power is 1

hope this helps! :) from peachimin

Digiron [165]2 years ago

5 0

The answer is 1 b/c anything raised to the 0 power is 1

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Solve for the value of z: 90/15=6/z help asap !!

Anuta_ua [19.1K]

Answer:

Step-by-step explanation:

90/15=6/z

6=6z

z=1

6 0

3 years ago

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A candidate for a US Representative seat from Indiana hires a polling firm to gauge her percentage of support among voters in he

UkoKoshka [18]

Answer:

a) The minimum sample size is 601.

b) The minimum sample size is 2401.

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:

We dont know the true proportion, so we use $\pi = 0.5$ , which is when we are are going to need the largest sample size.

95% confidence level

So $\alpha = 0.05$ , z is the value of Z that has a pvalue of $1 - \frac{0.05}{2} = 0.975$ , so $Z = 1.96$ .

a. If a 95% confidence interval with a margin of error of no more than 0.04 is desired, give a close estimate of the minimum sample size that will guarantee that the desired margin of error is achieved. (Remember to round up any result, if necessary.)

This is n for which M = 0.04. So

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

$0.04 = 1.96\sqrt{\frac{0.5*0.5}{n}}$

$0.04\sqrt{n} = 1.96*0.5$

$\sqrt{n} = \frac{1.96*0.5}{0.04}$

$(\sqrt{n})^2 = (\frac{1.96*0.5}{0.04})^2$

$n = 600.25$

Rounding up

The minimum sample size is 601.

b. If a 95% confidence interval with a margin of error of no more than 0.02 is desired, give a close estimate of the minimum sample size necessary to achieve the desired margin of error.

Now we want n for which M = 0.02. So

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

$0.02 = 1.96\sqrt{\frac{0.5*0.5}{n}}$

$0.02\sqrt{n} = 1.96*0.5$

$\sqrt{n} = \frac{1.96*0.5}{0.02}$

$(\sqrt{n})^2 = (\frac{1.96*0.5}{0.02})^2$

$n = 2401$

The minimum sample size is 2401.

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3 years ago

18. At a putt-putt course there are 50 yellow golf balls, 45 red golf

TEA [102]

Here is the answer to you question

5 0

3 years ago

Please help :)))))))))))))

masya89 [10]

Tbh I can’t see that

7 0

2 years ago

7 times as much as the sum of 1/3 and 4/5

Zanzabum

Well first we want to divide 1 by 3 , which is 0.3 , Now we need to divide 4 by 5 which is 0.8 .

We have our answers but 7 needs to be added by their sum so lets put them together by adding them : 0.3 + 0.8 = 1.1.

Now lets add 7 and 1.1 all together , which is 8.1.

_________________________________________________

I hope this helps you a lot :)

8 0

3 years ago

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