Thanks very much for the answer. The first descriptions about exhaustive events were a little bit confused, but now thanks to your explanation I better understand the concept. Thank you very much!
Summary: Want to know exactly what an exhaustive event is. A little bit confused about "one of them will occur during the conduct of an experiment".
Hi there, I open this thread because I am a little bit confused about what an 'exhaustive event' is. I have been reading some websites and...
How many choices for the object to go in the first position?
2 choices?
123
132
213
231
312
321
Having made that choice, how many objects do you have left to choose from for the second position?
2 also?
EDIT: you're asking me about the formula to order n objets. I'm not familiar with it.
I would say you that it's possible to get the result (6 possible combinations) using the permutation formula:
Right?
I would say that if we have 2 candles and there are 2 possible solutions, then if we have N candles, we will have N possible solutions. Right?
For example, if we have 4 candles, we will have 4 possible solutions?
Well, assume that N = 2 , so I have 2 candles. The first and the second candle.
Of course, I assume that they can be > or < (not equal).
So the solution could be: 16? I don't get the idea.
I have made the following observations. Check them and say me if I'm right or not.
I have 2 candles, the first has the index #1, and the second has the index #2.I assume that if I want to calculate all the possible relations that can exist between each component of the first candle, with each...
Hello, I have a set of N candles. The candles are vertical and each candle has 4 variables (maximum, minimum, open and close). Each candle can be equal or different length (usually they are different length).
For any given candle 4 instead of 2, parameters are used to describe i: max, min, open...
Homework Statement
Hello, I have to solve a problem to calculate all the possible combinations in a dataset. I have candles and each one has 4 values: open, close, high and low. And I have a high number of candles (hundreds).
I want to know all the possible scenarios that it's possible to...
Of course, I understand. I have read something about the 'absolute value', so I previously thought about that the order in the substraction doesn't matter (as you explain in your post). And I better understand why it's not really important to use ##Y_predicted - Y_real## or ##Y_real -...
Lets start with... How a single error is measured?
I think it is:
Y value from real - Y value from prediction. This gives you a number that is the error, right?
Ray Vickson
So let's start little by little... let's talk about the first paragraph.
Lets think we have a dataset ##(X_1,Y_1), \ldots, (X_n, Y_n)##. As you said, it is possible that those points in the xy space form groups. So our task is to find a straight line that is like the 'mean' of those...