Which one is it? please help me

PLEASE HELP I WILL GIVE BRAINLYEST<br> Explain if you agree or disagree with Blake's claim..

o-na [289]

Ok i have thought about this and

no.

5 0

2 years ago

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what is the length, in units, of the hypotenuse of a right triangle if each of the two legs is 3 units? square root of 18 units

AfilCa [17]

Answer:

Option 1 is correct that is square root of 18.

Step-by-step explanation:

We will use pythagoras theroem to find the length of hypotenuse

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

Here, c is hypotenuse,a is one leg and b is the other leg.

Here, a=b=3

On substituting the values in the formula we get:

$c^2=3^2+3^2=18$

$c=\sqrt{18}$

Hence, Option 1 is correct that is square root of 18.

8 0

3 years ago

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There are 2,000 eligible voters in a precinct. A total of 500 voters are randomly selected and asked whether they plan to vote f

Ann [662]

Answer:

$0.7 - 2.58 \sqrt{\frac{0.7(1-0.7)}{500}}=0.647$

$0.7 + 2.58 \sqrt{\frac{0.7(1-0.7)}{500}}=0.753$

And the 99% confidence interval would be given (0.647;0.753).

So the correct answer would be:

a. 0.647 and 0.753

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{p(1-p)}{n}})$

Solution to the problem

The estimated population proportion for this case is:

$\hat p = \frac{350}{500}=0.7$

The confidence interval would be given by this formula

$\hat p \pm z_{\alpha/2} \sqrt{\frac{\hat p(1-\hat p)}{n}}$

For the 99% confidence interval the value of $\alpha=1-0.99=0.01$ and $\alpha/2=0.005$ , with that value we can find the quantile required for the interval in the normal standard distribution.