Personally, I think stats. I'd say that, I feel like the usefulness of stats would cap out pretty quickly. I'm currently working towards a PhD in Statistics and almost all the grad students in the department double majored in Math and Stats as undergrads. A VERY big difference in their problem solving approaches is the concept of experimental design Statisticians put very little weight on data collected for a hypothesis test that does not have proper controls and without a proper experimental design, while an applied mathematician may see a ton of such data as a great resource for curve fitting, etc. But if someone in front of them is driving a constant 55, they will have to slow down to 50 in order to be able to maintain their usual variability. These are both entirely theoretical (pure math) courses. You can't fake being good at math. Statistic vs. Statistics. Your reply has occurred very quickly after a previous reply and likely does not add anything to the thread. The only place they are tied together more than that IS on the abstract, theoretic statistics. I’ll admit it: before grad school I wasn’t fully clear on the distinction between statistics and applied mathematics. Once you get to Von Neumann, Ulam, scientific computing and the Monte Carlo method, I don’t see how you can tease the two disciplines apart any more. As for the traffic jam idea itself, here’s an empirical example: Well … yes and no. So, if you're thinking of getting into statistics because you kind of like math, but don't like the theoretical aspect, don't. vs. Computer Science? The distance, providing everyone’s driving at a constant speed, is going to remain the same. Say someone’s speed varies 10 mph. steps you need to take to apply to medical school, 24 yr old Finance major interested in Pre-med & Pre-PT, 24 yr old Finance major interested in PT school (Do I have a chance? Okay. In general, each program requires a number of specific and elective courses from the list of approved courses shown below. I consider myself an applied mathematician but the majority of what I’ve done in that realm over the years would be better classified as ‘scientific and statistical computing’, aka getting shit done on computers for scientists and engineers. Of course this has been a caricature — a good applied mathematician will get around to considering variability too — but it still seems to be a difference between the fields’ focuses. Is 31 too old to start working on a Math degree? My first reaction was that these commenters showed an applied-math way of thinking: There’s a steady state in which all the cars could go at the same speed as the leading pair, so presumably that’s what must happen. I've taken stats classes that are all theory and math classes that are all theory. Skipping the “intellectual” part for now, here’s what Cook said: Imagine you’re on a highway with two lanes in each direction. But ultimately, the system ought to stabilize to a point where everyone’s going the speed limit (given a sufficiently long highway, such that road capacity doesn’t become the limiting factor). A statistician, on the other hand, is trained to think about variability from the start, and should immediately recognize that the following cars won’t be able to match speeds perfectly (even with cruise control you’re not likely to keep exactly the same speed as the leading cars), and that this is going to be a major part of the problem. ? Stats isn't too bad as an undergrad major. Statistics happens to make use of a lot of math. It is situational, depending on your school. If you like statistics, you should get into statistics. More names for statistics, and do they matter? It's come time to declare a major, so I need to ask: go with applied math. Intensity. it is up to you. Stats is definitely not easier than applied math! Main Difference. My advice is to go with the one you find the most interesting and you're most passionate about. Join Yahoo Answers and get 100 points today. Still have questions? Need help with a question on Quadratic equations in math? Two cars are traveling side-by-side at exactly the speed limit. Students who major in both Mathematics and Statistics must accumulate a total of thirteen talk credits. One difference between Statistics vs. Stats would probably be easier; applied usually requires some proofs-based class in analysis or algebra which can be very tough.

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