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2 years ago

Pls guys help me with this i will give u more points!

Mathematics

1 answer:

gtnhenbr [62]2 years ago

5 0

$3x - 4y = - 6 \\ - 2x + y = 1$

<em>The Ordered pair of solution will be (x,y)=(2,3)</em>

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<h3>Steps below⤵️</h3>

Solve the second equation for y
Substitute the given value of y into the first equation
Solve the first equation for x
Substitute the given value of x into the second equation
Solve the equation for y
The possible solution of the system is the ordered pair (x,y)
And we are done solving!!~

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You are interested in estimating the the mean weight of the local adult population of female white-tailed deer (doe). From past

alisha [4.7K]

Answer:

$n=(\frac{2.33(19)}{7})^2 =39.996 \approx 40$

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".

$\bar X$ represent the sample mean

$\mu$ population mean

$\sigma=19$ represent the assumed population standard deviation

n represent the sample size (variable of interest)

Confidence =0.98 or 98%

Me=0.07 represent the margin of error for this case

Solution to the problem

The margin of error is given by this formula:

$ME=z_{\alpha/2}\frac{\sigma}{\sqrt{n}}$ (1)

And on this case we have that ME =7 and we are interested in order to find the value of n, if we solve n from equation (1) we got:

$n=(\frac{z_{\alpha/2} \sigma}{ME})^2$ (2)

The critical value for 98% of confidence interval now can be founded using the normal distribution. And in excel we can use this formla to find it:"=-NORM.INV(0.01,0,1)", and we got $z_{\alpha/2}=2.33$ , replacing into formula (2) we got: