Ranking Math Electives: Comparing Difficulty Levels of Math 341 and Math 344

[NINHARDCOREFAN]

Next semester is my last. I have one Math elective left to pick, how would you rank the following Math courses in terms of difficulty of the material:

Math 341 - Introduction to Statistics (3-0-3)
Prerequisite: Math 244 or Math 333. Covers the theory and applications of classical statistical inference. Topics include sampling distributions, point and interval estimation, criteria of good estimators, maximum likelihood estimators and their large sample properties, statistical hypotheses and tests, including most powerful and uniformly most powerful tests and likelihood ratio tests, classical tests of parametric hypotheses about means and variances of normal populations, tests for proportion, chi-square tests of homogeneity, independence, goodness-of-fit, sign test and Wilcoxon test.

Math 344 - Regression Analysis (3-0-3)
Prerequisite: Math 333 or Math 341. An introduction to statistical data analysis using regression techniques. Topics include least squares estimation, hypothesis testing, prediction, regression diagnostics, residual analysis, variance stabilizing transformations, regression using indicator variables, variable selection, and model building.

 

[berkeman]

What is your field and specialty? Do you have any other possibilities for math electives?

 

[NINHARDCOREFAN]

I'm a double major in Computer Science and Applied Math. There are a few more math electives available but I'm not interested in them.

 

[berkeman]

IMO, for a CS and Applied Math major, the 344 course looks more applicable to the work you will be doing soon. Congrats on the upcoming graduation!

 

[NINHARDCOREFAN]

Thanks, I was ready to take Regression Analysis but being it a evening class(I hate them), I wanted to look for an excuse to register for the other class which is a morning class. But I don't know how the material is for either class.