Answer:
X=45
Step-by-step explanation:
Lines AC and CD meet at a right angle so you half 90 =45
Equation: x² - (x - y)² * y
Substitute values for x and y into equation.
-> (-5)² - ( (-5) - (-8) )² * (-8)
-> 25 - (-5 + 8)² * (-8)
-> 25 - (3)² * (-8)
-> 25 - 9 * (-8)
-> 25 - (-72)
-> 25 + 72
-> 97
Answer:
You can tell if a table is linear by looking at how X and Y change. If, as X increases by 1, Y increases by a constant rate, then a table is linear.
Step-by-step explanation:
Hope this helped~
No, The resulting prediction would be more or less reliable than your original one.
Importance:
Prediction is a forecast or a prophecy. An example of a prediction is a psychic telling a couple they will have a child soon, before they know the woman is pregnant. A statement of what will happen in the future.
Predictions provide a reference point for the scientist. If predictions are confirmed, the scientist has supported the hypothesis. If the predictions are not supported, the hypothesis is falsified. Either way, the scientist has increased knowledge of the process being studied.
Learn more about Resulting Prediction on:
brainly.com/question/19267918
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Answer:
1. 1340
2. Variance = 47200, standard deviation = 217.25556
Step-by-step explanation:
1-
If X is the random variable that give the number of admissions, then the expected number of admissions<em> E[X]</em> for the fall semester is
1080*P(X=1080)+1380*P(X=1380)+1540*P(X=1540) =
1080*0.4+1380*0.1+1540*0.5 = 1340
2-
The <em>variance</em> is defined as
![\sigma^2=E[X^2]-(E[X])^2}](https://tex.z-dn.net/?f=%5Csigma%5E2%3DE%5BX%5E2%5D-%28E%5BX%5D%29%5E2%7D)
We have
![E[X^2]=(1080)^2*0.4+(1380)^2*0.1+(1540)^2*0.5=1842800](https://tex.z-dn.net/?f=E%5BX%5E2%5D%3D%281080%29%5E2%2A0.4%2B%281380%29%5E2%2A0.1%2B%281540%29%5E2%2A0.5%3D1842800)
whereas
![(E[X])^2=(1340)^2=1795600](https://tex.z-dn.net/?f=%28E%5BX%5D%29%5E2%3D%281340%29%5E2%3D1795600)
So the variance equals
The <em>standard deviation is just the square root of the variance</em>, so, the standard deviation is
