Hello,
I have a question regarding the so-called semi-studentized residual,
which is of the form (e_i)* = ( e_i - 0 ) / sqrt(MSE). Here, e_i is the ith
residual, 0 is the mean of the residuals, and sqrt(MSE) means the square
root of MSE. Now, if I understand correctly, the population simple
I have two questions regarding simple linear regression that I was hoping
someone could help me with.
1) According to what I have learned so far, the levels of X are fixed, so
that only Y is the random variable ( error is random as well). My question
is, what if X is a random variable as well?
Hello,
I have a question regarding the so-called normal approx. to the binomial
distribution. According to most textbooks I have looked at (these are
undergraduate stats books), there is some talk of how a binomial random
variable is approximately normal for large n, and may be approximated
According to a textbook I have, a random sample of n objects from a random
variable X, is composed of n random variables itself, namely, X1,X2,...,Xn.
I am having some difficulties in figuring out how to interpret this. For
example, suppose that you are considering the population of adult males
Hello,
I have a question regarding the definition of probability. If I
understand correctly, probability may be defined using just axioms. However,
my textbook also uses a relative frequency definition, in which a
probability is defined as being the proportion of times an outcome occurs in
Hello,
I have a question regarding basic probability and statistics. If I
understand correctly, the definition of independence holds for two events
that are subsets of the same sample space. In other cases, we may need to
construct a new sample space, such as with the flipping of a coin
Hello,
I am currently taking a first course in statistics, and I was hoping that
perhaps someone might be kind enough to answer a question for me. I
understand that, while a quantitative variable may not be normally
distributed, we may calculate the mean of the sample, and use facts about
