Hi, I am planning to apply for a Ph.D program in economics for next year after finishing up my M.S. in Math this Dec. Well, the math part is taken care of, and the economic professors seem to like it, but they almost mention that I will need to know calculus based statistics.

Sadly I have never taken a single statistics class. I'm currently reading a book titled "Probability and Statistics". But what is the different between stat and calc-based stat? Can anyone give me an introduction to STAT or a website?

I went to wikipedia and read the topics, but I'm not so sure how far I will need to go.

Thank you!

Actually I am surprise that you would even be admitted to such a program.
In my view, you are probably two maybe three mathematical courses away from being prepared for that course of study. I think that at a minimum you need a course in probability and a course in mathematical statistics (maybe two).

Most simply, I think is that calculus-based allows you to go beyond simple distributions and lists of tables. By "simple distributions", I mean those that can be described completely in an elementary course in Geometry. As long as your distributions behave themselves, or are very finite, you wont much need the calculus.

Too bad most of the word isn't described very well by elementary geometry.

Note: This is a very simplistic differentiation. There is so much more after crossing of to the calculus, it really is difficult to describe.

It would be best for you to discuss this with either your supervising professor or a Faculty advisor. As implied in an earlier post, you most likely lack some necessary pre-requisites that need to be made up, perhaps via a reading list and/or bridging courses.

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No, I have not been admitted to anything yet, I'm planning to apply.

Well, I already enroll in a STAT class, "Probability and Statistics" and it is calculus based, and I'm planning to take another STAT class next semester.

I just want to know how much time I will need before I complete the STAT that will need for the program.

Thank you.