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3 years ago

2 square root of 5 is between... A) 2 and 3 B) 4 and 6 C) 6 and 9 D) 9 and 12

Mathematics

2 answers:

Natalija [7]3 years ago

7 0

B
Because 2 sqrt5 is = to sqrt 20.

4^2=16, 6^2=36

Elanso [62]3 years ago

3 0

B as the square root of 5 is 2.5 ( 2.5 x 2.5 = 5) so five being between four and six, the answer is B

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Anna [14]

this is just a guess by looking at the image

4 0

3 years ago

in a farm 6084 trees aer planted in such a way that there are as many trees in a row as there are row. how many rows are there?

Leno4ka [110]

Answer:

78 trees

Step-by-step explanation:

No. of trees planted = Area of square

No. of trees planted = 6084

Row = side of square

Side = √(Area)

Side = √(6084)

Side = 78 trees

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3 years ago

II. Round to the nearest hundred. 11. 582 12. 1,234 13. 640 14. 770 15. 1,104

Olenka [21]

Answer:

11. 600

12. 1,200

13. 600

14. 800

15. 1,100

Step-by-step explanation:

look at the number in the 'tens' column. if the number is between 1-4, you round down, if the number is between 5-9, you round up.

3 0

2 years ago

Can you plz help? Plzzzzz

katen-ka-za [31]

First question:b
Second question:c

3 0

3 years ago

You want to obtain a sample to estimate a population proportion. At this point in time, you have no reasonable estimate for the

Vesna [10]

Answer:

A sample size of at least 1,353,733 is required.

Step-by-step explanation:

In a sample with a number n of people surveyed with a probability of a success of , and a confidence level of , 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 .

The margin of error is:

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

98% confidence level

So $\alpha = 0.02$ , z is the value of Z that has a pvalue of $1 - \frac{0.02}{2} = 0.99$ , so $Z = 2.327$ .

You would like to be 98% confident that you esimate is within 0.1% of the true population proportion. How large of a sample size is required?

We need a sample size of at least n.

n is found when M = 0.001.

Since we don't have an estimate for the proportion, we use the worst case scenario, that is $\pi = 0.5$

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

$0.001 = 2.327\sqrt{\frac{0.5*0.5}{n}}$

$0.001\sqrt{n} = 2.327*0.5$

$\sqrt{n} = \frac{2.327*0.5}{0.001}$

$(\sqrt{n})^{2} = (\frac{2.327*0.5}{0.001})^{2}$

$n = 1353732.25$

Rounding up

A sample size of at least 1,353,733 is required.

5 0

3 years ago