Eh, no. Leave it to the math freak. I have not found the value of x, I have “found” the value of pi. Essentially I haven’t, because the first equation is completely correct; I simply made incorrect transformations in the process to “prove” that pi was 3. Basically, I have incorrectly elmininated our unknown variable x. You see, I can make whatever statement mathematically to assign (or in this case, correlate) the variable x. pi in this case is some constant.
The incorrect part lies when I take the square root out of both sides of the equation; the value within the paranthesis may as well be it’s negative correspondance; and when you actually add that, you don’t get pi = 3 anymore. It may as well be x-pi = ±(x-3).
Alright, if you still want to argue about it, try replacing pi with “4” everywhere in the “proof”. The first equation will be correct, yet the end result (that 4=3) will trivially be incorrect.
Hi, I’m studying Statistics 1 and I’m stuck on a question on Discrete Random Variables. I have the question and the answer from the mark scheme but I don’t understand how they answered it. If anyone can please explain what I have to do, to answer it would be greatly appreciated.
The first table shows the probablity that x is smaller than or equal to a certain value.
The second table will show the probablity that x is precicely equal to a certain value.
Starting with the first entry, from the first table we see that the probablity that x is smaller than or equal to 1 is 0.1. The question then is, what is the probablity that x is precicely 1? Since the probablity that x is smaller than 1 is 0 (1 is the lowest value it can take) the probability that x is precicely 1 must also equal 0.1.
For the second entry, we see from table 1 that the probability that x is smaller than or equal to 2 is 0.2. This means that we have
(probability that x is smaller than 2) + (probability that x is precicely 2) = 0.2
The unknown we are looking for here is the probability that x is precicely 2. The probability that x is smaller than 2 must be equal to the probability that x is precicely 1, since the only smaller value than 2 x can take is 1. Thus we have
0.1 + (probability that x is precicely 2) = 0.2
and we see that the probability that x is precicely 2, and thus the second entry in the solution table, is 0.1.
For the third entry, we carry on the same way. We have
(probability that x is smaller than 3) + (probability that x is precicely 3) = 0.25
The probability that x is smaller than 3 must be the probability that x is precicely 1 + the probability that x is precicely 2, since 1 and 2 are the only lower values x can take. Thus we have
(probability that x is smaller than 3) = 0.1 + 0.1 = 0.2 and
0.2 + (probability that x is precicely 3) = 0.25
and thus (probability that x is precicely 3) = 0.05 - this is the third entry in the solution table.
For the rest, the same general pattern (which I’ve hopefully made clear by now) is followed. Hope this helps.
I have o friend who is able to prove that 1=0,999…, but I forgot how did he do this. Neverthless, I am a maths genius in my parents’ eyes, but reality shows different facts. I don’t think I’m even good.
On the other side… the humanities are also too complicated. They wouldn’t be, if I hadn’t got to read antique books written with totally out-of-date language which barely anyone can nowadays understand…
And one-page long text from these books to memorize, of course
Can anyone here explain how the delta-epsilon definition of a limit applies when the limit is infinity? I tried doing it, but everything went kablooie.
The delta epsilon definition says that “the limit as x approaches c of f(x)=L” means that for any epsilon (e) > 0, there is a delta (d) > 0 such that if 0<|x-c|<d, then |f(x)-L| < e.