The value of the estimated standard error for the sample mean difference is 5.4494897 or approximately 5.45. The formula to get the value of the estimated standard error for the sample mean difference is the square root of (30/5) + (30.10) = 5.45
The answer in this question is 5.45
Answer:
y = -0.25 - 8
Step-by-step explanation:
2x + 8y = -64
-2x -2x
----------------------
8y = -2x -64
---- ---- ----
8 8 8
-------------------
y = -0.25 - 8
You could check these four answers by subbing them, one by one, into the original equation. Or you could immediately apply the quadratic formula to
<span>x^2 -6x-22. I'd rather be proactive and calculate the roots myself.
Using a=1, b= -6 and c = -22, we get discriminant (-6)^2 - 4(1)(-22), which evaluates to 36+88 = 124. 124 in turn can be factored: 124 = 4(31).
then:
-(-6) plus or minus sqrt( [-6]^2 - 4(1)(-22) )
x = ----------------------------------------------------------
2
6 plus or minus 2*sqrt(31)
= -----------------------------------------
2
= 3 plus or minus sqrt(31)
Note that these are REAL roots, in complete disagreement with the four answer choices. Please ensure that you have copied the quadratic expression accurately.
Remind yourself that if the discriminant is +, as it is in this case, you have 2 distinct real roots.</span>
63% is the answer hoped it helped ................................
Answer:
The desviation is 8 4/7 or 8.571
Step-by-step explanation:
The conversion for any variable X to a standard z is
![Z=\frac{X-\[Mu]}\\{\[Sigma]}](https://tex.z-dn.net/?f=Z%3D%5Cfrac%7BX-%5C%5BMu%5D%7D%5C%5C%7B%5C%5BSigma%5D%7D)
where mu is the mean and sigma de desviation
You can find the value of Z whith the tables of the accumulated probability function. The accumulated probability for the mean is 0.5 .Remenber that the accumlated probability function represent the area at the left of an abscissa. Then
0.5+0.3531=0.8531
Acording to the accumulated probability function table, a Z=1.05 has an area of 0.8531 at its left.
Now it is only solving the equation
![\[Sigma]=\frac{X-\[Mu]}{Z}](https://tex.z-dn.net/?f=%5C%5BSigma%5D%3D%5Cfrac%7BX-%5C%5BMu%5D%7D%7BZ%7D)
σ=![\frac{34-25}{1.05}](https://tex.z-dn.net/?f=%5Cfrac%7B34-25%7D%7B1.05%7D)
σ=8.571