Interpretation of MLE We use maximum likelihood to estimate parameters because t

Question

Interpretation of MLE

We use maximum likelihood to estimate parameters because the parameter value with the highest likelihood is the value that has the highest probability of being correct. ‘Likelihood’ is just a different word for ‘probability’.

Here are 1 statements or question about statistics, mainly about regression, for you to ponder and comment on.

Is this statement true, false or does it truth depend on unstated conditions?

In the last case, on what conditions does it depend on and how?

PLEASE SHOW ME SPECIFIC PROCESS OF THE ANSWER

I REALLY HAVE NO IDEA HOW TO ANSWER THIS QUESTION

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Explanation / Answer

Yes it is true that it depends on unstated conditions

Conditions such that the dependency of occurence of one event on the occurence of other event , like choosing red ball from bag1 or bag2 will depend on if bag 1 or bag 2 is choosed

Sometimes events dont effect the occrence of other events like tossing a coin

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