<img src="https://tex.z-dn.net/?f=%5Csqrt%7B90%7D%20%2B%5Csqrt%7B90%7D%20%3D%3F" id="TexFormula1" title="\sqrt{90} +\sqrt{90} =?

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VladimirAG [237]

2 years ago

" alt="\sqrt{90} +\sqrt{90} =?" align="absmiddle" class="latex-formula">

Mathematics

2 answers:

liberstina [14]2 years ago

5 0

Answer:

Step-by-step explanation:

the square root of 90=9.5, so its 9.5+9.5=19

anyanavicka [17]2 years ago

3 0

Answer:

Hey there buddy I’m here too help you

Your answer is

90=9.5

9.5+9.5=19

Hope it’s helps you

Have a nice day

Good luck

Step-by-step explanation:

~FluffyBlueberry

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A student wanted to construct a 95% confidence interval for the mean age of students in her statistics class. She randomly selec

VMariaS [17]

Answer:

$19.1-3.355\frac{1.5}{\sqrt{9}}=17.42$

$19.1+3.355\frac{1.5}{\sqrt{9}}=20.78$

And the best option would be:

C. [17.42,20.78]

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".

$\bar X=19.1$ represent the sample mean

$\mu$ population mean (variable of interest)

s=1.5 represent the sample standard deviation

n=9 represent the sample size

Solution to the problem

The confidence interval for the mean is given by the following formula:

$\bar X \pm t_{\alpha/2}\frac{s}{\sqrt{n}}$ (1)

In order to calculate the critical value $t_{\alpha/2}$ we need to find first the degrees of freedom, given by:

$df=n-1=9-1=8$

Since the Confidence is 0.99 or 99%, the value of $\alpha=0.01$ and $\alpha/2 =0.005$ , and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-T.INV(0.005,8)".And we see that $t_{\alpha/2}=$