Answer:
C: ![\lim_{x \to 0} y \to -\infty](https://tex.z-dn.net/?f=%5Clim_%7Bx%20%5Cto%200%7D%20y%20%5Cto%20-%5Cinfty)
Step-by-step explanation:
The y-axis is the asymptote, and G(x) approaches it as x is getting smaller and smaller.
Actually, even more accurate would be to write
![\lim_{x \downarrow 0} y \to -\infty](https://tex.z-dn.net/?f=%5Clim_%7Bx%20%5Cdownarrow%200%7D%20y%20%5Cto%20-%5Cinfty)
The down arrow shows that x has to approach 0 from the positive side.
Answer:
There is no answer. I'm sorry but more information is needed in order to find the answer.
Step-by-step explanation:
However, the problem can be written.
It will look like:
3n - 1.
Since the number can be anything, this is not an answerable question because it must equal a number on the right side of the equation.
Answer:
![15x^2+5xy-125=0](https://tex.z-dn.net/?f=15x%5E2%2B5xy-125%3D0)
Step-by-step explanation:
We are give the following in the question:
Dimensions of rectangle:
Length , l =
![l = x\sqrt{100} = 10x](https://tex.z-dn.net/?f=l%20%3D%20x%5Csqrt%7B100%7D%20%3D%2010x)
Width of rectangle, w =
![w = \dfrac{y}{2} +\dfrac{3x}{2}](https://tex.z-dn.net/?f=w%20%3D%20%5Cdfrac%7By%7D%7B2%7D%20%2B%5Cdfrac%7B3x%7D%7B2%7D)
Area of rectangle = 125 square cm.
Area of rectangle =
![A =l\times w](https://tex.z-dn.net/?f=A%20%3Dl%5Ctimes%20w)
Putting values, we get,
![125 = 10x\times (\dfrac{y}{2}+\dfrac{3x}{2})\\\\125 = 5xy+15x^2\\15x^2+5xy-125=0](https://tex.z-dn.net/?f=125%20%3D%2010x%5Ctimes%20%28%5Cdfrac%7By%7D%7B2%7D%2B%5Cdfrac%7B3x%7D%7B2%7D%29%5C%5C%5C%5C125%20%3D%205xy%2B15x%5E2%5C%5C15x%5E2%2B5xy-125%3D0)
is the required equation.
Answer:
Option D - Will not be rejected at the 0.05 level.
Step-by-step explanation:
The significance level, which is denoted as "α", is a measure of the strength of the evidence that must be present in a sample before we can reject the null hypothesis and conclude that the effect is statistically significant. Now, this significance level must be determined before conducting an experiment.
Now, in the context of this question, the significance level is the probability of rejecting the null hypothesis when it is true. For example, a significance level of 0.05 means a 5% risk of concluding that a difference exists when there is no actual difference. Now, lower significance levels will indicate that we require stronger evidence before we can reject the null hypothesis.
Thus, if we don't reject at α = 0.1,we obviously will not reject at higher values.
Thus, looking at the options, we will not reject at 0.05 significance level.
Mean=5
Step-by-step explanation:
add the numbers given and divide it by the number of numbers given