I was wondering if taking the college probability courses at my university would prepare me for exam P? I currently go to the University of Washington, and I am pursuing a BS in math, with a minor in statistics. Next year I am taking the 3 probability course series, and am wondering if that will prepare me for the exam. Each course is only 3 credits (so about 30 hours per quarter, for a total of 90 hours in class), but if I studied really hard and got a 3.5 or higher in the classes, do you think I would be prepared to take the exam next summer? I am hoping to do that, and then begin preparing for the next exam during the next school year, so that I can get an internship during the summer after my senior year. To get an idea of what is taught in the classes, the course descriptions are below:
MATH 394 Probability I (3) NW
Sample spaces; basic axioms of probability; combinatorial probability; conditional probability and independence; binomial, Poisson, and normal distributions. Prerequisite: either 2.0 in MATH 126 or 2.0 in MATH 136; recommended: MATH 324 or MATH 327. Offered: jointly with STAT 394; AWS.
MATH 395 Probability II (3) NW
Random variables; expectation and variance; laws of large numbers; normal approximation and other limit theorems; multidimensional distributions and transformations. Prerequisite: 2.0 in STAT/MATH 394. Offered: jointly with STAT 395; WSpS.
MATH 396 Probability III (3) NW
Characteristic functions and generating functions; recurrent events and renewal theory; random walk. Prerequisite: 2.0 in MATH 395 or 2.0 in STAT 511. Offered: jointly with STAT 396; Sp.
I have already taken calculus and am taking advanced multivariable calculus next year (I have done ok in those with an average of about a 3.0). Anyways, any recommendations on studying and passing the exam would help. Also, if you have any recommended reading for studying for the exam itself, please let me know, thanks.
MATH 394 Probability I (3) NW
Sample spaces; basic axioms of probability; combinatorial probability; conditional probability and independence; binomial, Poisson, and normal distributions. Prerequisite: either 2.0 in MATH 126 or 2.0 in MATH 136; recommended: MATH 324 or MATH 327. Offered: jointly with STAT 394; AWS.
MATH 395 Probability II (3) NW
Random variables; expectation and variance; laws of large numbers; normal approximation and other limit theorems; multidimensional distributions and transformations. Prerequisite: 2.0 in STAT/MATH 394. Offered: jointly with STAT 395; WSpS.
MATH 396 Probability III (3) NW
Characteristic functions and generating functions; recurrent events and renewal theory; random walk. Prerequisite: 2.0 in MATH 395 or 2.0 in STAT 511. Offered: jointly with STAT 396; Sp.
I have already taken calculus and am taking advanced multivariable calculus next year (I have done ok in those with an average of about a 3.0). Anyways, any recommendations on studying and passing the exam would help. Also, if you have any recommended reading for studying for the exam itself, please let me know, thanks.
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