MHB Do's question at Yahoo Answers regarding the evaluation of a limit

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The limit to evaluate is lim(x→-∞)((14-13x)/(10+x) + (5x^2 + 14)/((11x-12)^2)). By applying the property of limits, the expression can be separated into two parts. The first part simplifies to lim(x→-∞)((5x^2 + 14)/((11x-12)^2)), which approaches 5/121, while the second part, lim(x→-∞)((14-13x)/(10+x)), simplifies to -13. Combining these results gives a final limit of -1568/121. This demonstrates the application of limit properties in evaluating complex rational functions.
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Here is the question:

How do you find ths prob lim(x to(-)infty)frac(14-13 x)(10+x)+\frac(5 x^2 +14)((11 x-12)^2)?

I have posted a link there to this topic so the OP can see my work.
 
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Hello do,

We are given to evaluate:

$$\lim_{x\to-\infty}\left(\frac{14-13x}{10+x}+\frac{5x^2+14}{(11x-12)^2} \right)$$

A property of limits that we can use here is:

$$\lim_{x\to c}\left(f(x)\pm g(x) \right)=\lim_{x\to c}(f(x))\pm\lim_{x\to c}(g(x))$$

And so we may rewrite the limit as:

$$\lim_{x\to-\infty}\left(\frac{5x^2+14}{(11x-12)^2} \right)-\lim_{x\to-\infty}\left(\frac{13x-14}{x+10} \right)$$

Next, consider a function of the form:

$$f(x)=\frac{a_nx^n+a_{n-1}x^{n-1}+\cdots+a_0}{b_nx^n+b_{n-1}x^{n-1}+\cdots+b_0}$$

Now, if we divide each term in the numerator and denominator by $x^n$, we have:

$$f(x)=\frac{a_n+a_{n-1}x^{-1}+\cdots+a_0x^{-n}}{b_n+b_{n-1}x^{-1}+\cdots+b_0x^{-n}}$$

And so, we see:

$$\lim_{x\to\pm\infty}(f(x))=\frac{a_n+0+\cdots+0}{b_n+0+\cdots+0}=\frac{a_n}{b_n}$$

Applying this to the limit at hand, we find:

$$\lim_{x\to-\infty}\left(\frac{5x^2+14}{(11x-12)^2} \right)-\lim_{x\to-\infty}\left(\frac{13x-14}{x+10} \right)=\frac{5}{121}-\frac{13}{1}=-\frac{1568}{121}$$
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

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