BlawBlaw wrote:I was just looking at practice exams and those sorts of questions are maybe one out of 10 questions.
Do you mean 1 out of 10 questions or 1 out of 10 non-geometry questions?
The original article said top schools required a 700/800, so you need to get some of those to get in.
BlawBlaw wrote:You are 14 in grade 9. By the time you have to pick your college entrance courses you have had three years to figure out what you are good at, with science, math and english all being mandatory.
A lot of people switch majors in college. Possibly most.
BlawBlaw wrote:I don't know about biology but there are large swaths of economics and other social sciences are are math heavy, particularly in statistical analysis. Some people like Levitt - of Freakonomics fame - can get away with having weak quantitative skills, but if you read most economics papers in full, they get into the mathematical justification for their conclusions. Same same with other areas of social science research that use multiple regression analysis and related techniques to tease out the relationship between various factors (one that comes to mind is looking at the gender wage gap and the factors that influence it).
I use multiple regressions. It's not that advanced -- a few lines of code. More precisely, people learn multiple regression in second year undergraduate courses.
Far harder than using multilinear regression is knowing which variables to pick, how to parameterize them (it's not always linear), how to deal with the errors, the correlations in the errors, and sample bias. What do you do when there are too many free parameters? That's when you're at risk. For that, you need to be able to visualize in your head.
In my experience there's no minimum bar for proficiency. If you know a little you do a mediocre job. If you know more you do better. Modelling is a skilled art. There's no floor or ceiling, and thus there is benefit to people being as proficient as possible.
It's like language skills. There's no floor to what language skills you'd like the next generation to have, nor is there a maximum beyond which nobody would benefit. We should be asking how best we can develop our youth's language skills. Similarly with mathematics.