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3 years ago

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Which describes how to calculate density? .mass divided by volume .volume divided by mass .mass added to volume .volume subtract

ed from mass added to volume volume subtracted from mass

2 answers:

Simora [160]3 years ago

8 0

The formula for density is D = m/v

This is mass divided by volume

77julia77 [94]3 years ago

7 0

Answer:

mass divided by volume

Step-by-step explanation:

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Answer: 7 days

Step-by-step explanation: if he can make 12 liters in 6 days then you can divide 12 by 6 to know he can make 2 liters in 1 day. If he only needs 2 more liters, he only needs one more day and he has already spent 6 days and adding the one extra day, it would be 7 days

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A person invests 7000 dollars in a bank. The bank pays 6.5% interest compounded monthly. To the nearest tenth of a year, how lon

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I hope someone can help me, I usual help people too, it’s for solving equations with systems,hers a photo

blsea [12.9K]

Step-by-step explanation:

Flour needed to make birthday cakes = 2x

Flour needed to make holiday cakes = 1y = y

Maximum amount of Flour allowed = 20 (No more than 20)

Therefore

2x + y must not be more than 20

$2x + y \leqslant 20$

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3 years ago

Look at the coordinate grid below. What is the location of point J?

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3 years ago

A researcher wishes to estimate with 95% confidence, the proportion of the people who own a home computer. A previous study show

vitfil [10]

Answer:

The minimum sample size necessary is 2305.

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:

$\pi = 0.4$

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 $Z = 1.96$ .

The researcher wishes to be accurate within 2% of the true proportion. Find the minimum sample size necessary?

We need a sample size of n.

n is found when M = 0.02. So

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

$0.02 = 1.96\sqrt{\frac{0.4*0.6}{n}}$

$0.02\sqrt{n} = 1.96*\sqrt{0.4*0.6}$

$\sqrt{n} = \frac{1.96*\sqrt{0.4*0.6}}{0.02}$

$(\sqrt{n})^{2} = (\frac{1.96*\sqrt{0.4*0.6}}{0.02})^{2}$

$n = 2304.96$

Rounding up

The minimum sample size necessary is 2305.

8 0

3 years ago