Even for statistics ... you dont need to know math. What I mean by this is that you can understand the concepts without having to work through the detail. Like a lognormal distribution for example ... You dont need to know how to calculate the 99 percentile mark to understand that something may resemble a log normal distribution and that at some point you know that it is fairly unlikely that an event will happen.
Quote:
Originally Posted by alainprice
Other examples include quantum mechanics, Fourier analysis(I'm a speaker buff, so yeah), actuarial science(insurance and so forth), statistics(this one is HUGE).
A lot of great discoveries are made when someone makes a crazy claim, someone else formulates it mathematically and makes predictions with it, and then it's tested and proven. Schrodinger wasn't proud of his now famous equation. The 'poisson' spot in diffraction was an attempt by Poisson to discredit Fresnel wave theory of light. Einstein developed a lot of the ideas used in QM, yet didn't take it seriously enough.
|