I have a very basic question regarding confidence intervals.
Given I want to construct a confidence Interval for the expected value mu of normally distributed Random Variables.
As an estimator for mu I use the sample mean, \bar(X) = 1/n sum_(i=1)^n X_i that is.
Now I want the real value...
I have found the following exercise while trying to understand the Maximum Likelihood Estimation in Practice:
"In a random sample of 1000 Swiss employees, 78% stated that
they received a pay increase for the current year.
What is the MLE for the share of employees with a pay raise?"...
I am a very beginner so sorry for the very simple questions.
I have first a very general question regarding the linear regression.
This is my understanding of it so far put in a simple example:
I have a set of data points x_i for 1 <= i <= 10, for instance the age of ten people...