I started my MS Stats program at George Washington University this semester. The first course is Mathematical Statistics:

The only requirements for the course are Multivariable Calculus and Linear Algebra, both of which I recently completedThis is the first part of a two semester course in Mathematical Statistics. Probability theory is presented as a mathematical foundation for statistical inference. Axiomatic probability is introduced then some standard discrete and continuous probability distributions are presented. Joint distributions and transformations are discussed. Probabilistic convergence concepts are introduced.(that is as far as my mathematical education goes). I am finding the course to be impossibly difficult, to the point where I am only able to answer certain problems because their solution is either available online or because I am spending hours upon hours on them. This is giving me serious concern because I am not sure I'd be able to answer most of the questions on a midterm or the final. I'm not talking about not getting an A- in the course, but really just not being able to answer more than 25% of a test.

For example, attached is the HW we got for the second week, after we did combinatronics. I feel like I can follow what the professor is lecturing and what is being explained in the book, but am at a loss when it comes to applying it. It seems like most if not all of the students in the class had Math majors or minors in college, but if that is required to be successful in the program then I am not sure why I was admitted into it.

I was wondering if people have completed similar degrees or courses and could share their experience. This course is also required for the PhD students, though there are none in the class. Do most of the students just muddle along like I am, or is this something that they are not struggling with given they know so much more maths?