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4 years ago

PLEASE HELP ME!!!

Mathematics

2 answers:

MArishka [77]4 years ago

7 0

Rent answer A you’re welcome

Llana [10]4 years ago

3 0

Answer:

Rent

Step-by-step explanation:

Yes

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velikii [3]

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3 years ago

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Which is the simplified form of the expression ((p^2)(q^5))^-4 * ((p^-4)(q^5))^-2 ?

emmasim [6.3K]

$\bold{ANSWER:}$
OPTION A

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2 years ago

51 is 17% of what number

Mrac [35]

We let x be the variable that when 17% is multiply by x it will equal 51.

Convert 17% decimal. To do this, move the % sign two places to the left and make it into a decimal point.

17% = 0.17

Now make our equation 0.17 * x = 51

Divide both sides by 0.17.

x = 300

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3 years ago

Please help me I really need the answer!

Ymorist [56]

(2, 8)

Because you cannot divide by 0, which 2 would do to the bottom.

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3 years ago

In 2015 as part of the General Social Survey, 1289 randomly selected American adults responded to this question:

Radda [10]

Answer:

B (0.312, 0.364)

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 interval $1-\alpha$ , 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 $1 - \frac{\alpha}{2}$

For this problem, we have that:

1289 randomly selected American adults responded to this question. This means that $n = 1289$ .

Of the respondents, 436 replied that America is doing about the right amount. This means that $\pi = \frac{436}{1289} = 0.3382$ .

Determine a 95% confidence interval for the proportion of all the registered voters who will vote for the Republican Party. 

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

The lower limit of this interval is:

$\pi - z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.3382 - 1.96\sqrt{\frac{0.3382*0.6618}{1289}} = 0.312$

The upper limit of this interval is:

$\pi + z\sqrt{\frac{\pi(1-\pi)}{n}} = 0.3382 + 1.96\sqrt{\frac{0.3382*0.6618}{1289}} = 0.364$

The 95% confidence interval is:

B (0.312, 0.364)

5 0

3 years ago