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3 years ago

This number is in scientific notation.

Mathematics

2 answers:

V125BC [204]3 years ago

7 0

Answer:

0.00024

Step-by-step explanation:

julsineya [31]3 years ago

5 0

Answer:

0.00024

hope it helps;)

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3 years ago

Can someone solve Pythagorean theorem

Ad libitum [116K]

Answer:

48 units

b= 48 units

Step-by-step explanation:

pythag is $a^2+b^2=c^2$

we have a and c

so substitute them in

$14^2+b^2=50^2$

now you can solve

$196+b^2=2500$

subtract 196 from both sides

$b^2=2500-196$

subtract

2500 - 196 = 2304

$b^2=2304$

solve for the square root

square root of 2304= 48

therefore b= 48 units

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2 years ago

Which expression will be easier to simplify if you use the community property to change the order of the numbers

denis23 [38]

Answer:

the answer is c beucse yses

Step-by-step explanation:

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3 years ago

Please can u tell me the answer and method

stich3 [128]

160/4=40 so each side is 40. Divide the perimeter by how many sides you have.

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3 years ago

Of the population of all fruit flies we wish to give a 90% confidence interval for the fraction which possess a gene which gives

maks197457 [2]

Answer:

The margin of error for the 90% confidence interval is of 0.038.

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:

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

To this end we have obtained a random sample of 400 fruit flies. We find that 280 of the flies in the sample possess the gene.

This means that $n = 400, \pi = \frac{280}{400} = 0.7$

90% confidence level

So $\alpha = 0.1$ , z is the value of Z that has a pvalue of $1 - \frac{0.1}{2} = 0.95$ , so $Z = 1.645$ .

Give the margin of error for the 90% confidence interval.

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

$M = 1.645\sqrt{\frac{0.7*0.3}{400}}$

$M = 0.038$

The margin of error for the 90% confidence interval is of 0.038.

8 0

2 years ago