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Oh the irony
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Can someone give me a little test problem? An easy one please, I'm new to this lol.
Make the method random, so I have to try all three. Sub,Fac,Conj
Make the method random, so I have to try all three. Sub,Fac,Conj
Oh the irony said:Can someone give me a little test problem? An easy one please, I'm new to this lol.
Make the method random, so I have to try all three. Sub,Fac,Conj
Uhh, I doubt I got it right lol butttt0/2?LCKurtz said:[tex]lim_{x\rightarrow 4}\frac {2x-8}{\sqrt x - 2}[/tex]
LCKurtz said:No, that isn't right. And even though it's wrong, you would normally simplify 0/2 wouldn't you?
I'll give you a hint. Try rationalizing the denominator.
Let us imagine a traveller on a train due in New York at 5:17pm.
He must be there on time, so he continually looks at his watch and checks with the timetable.
He notices:
5.01pm the train is 10 miles out.
5:10pm, the train is 1 mile out.
5:17 exactly the train pulls up at its platform in Grand Central Terminal.
As the distance between the train station and the passenger approaches zero, the time reaches the maximum time allowed: 5:17
When we say "make the method random", it means implementing a method in a way that produces a result that cannot be predicted or controlled. This is typically done by using a random number generator or incorporating elements of randomness into the method's logic.
In scientific research, making methods random is important because it helps to reduce bias and increase the validity of the results. By introducing randomness, we can ensure that the results are not influenced by any outside factors or personal preferences.
There are several ways to make a method random, such as using a random number generator, incorporating random elements into the method's logic, or randomly selecting data points from a larger sample. It ultimately depends on the specific method and its purpose.
While making methods random can be beneficial in reducing bias, there are also potential drawbacks. For example, if the randomness is not properly controlled, it can lead to unreliable or inconsistent results. Additionally, it may be more difficult to replicate the results if the method is heavily reliant on randomness.
Making methods random is commonly used in various fields of science, such as psychology, biology, and economics. In these fields, it is important to control for external factors and reduce bias in order to obtain reliable and valid results.