Hard to explain, I did it out of interest, but now that I think about it I don't feel comfortable discussing what I found interesting as I think it will just make me sound stupid.
I actually studied more than 3 weeks. 3 weeks was when I started dedicating all of my time to it but I stupidly...
Thanks. I too agree with your post.
Yep. I know that now. I did well on all of the assignments so I guess I did convince myself of what was not true. I really, really wanted to do well and put in literally all of my free time for 3 week or so before the exam and I did not do well. So it is...
I work full time as a Data Analyst.
I took a degree in statistics, well an add on degree really doing 8 units.
I've done
Calc II
Calc III
Programming
Statistics I, II, III and Experimental Design and Statistical Modelling
The problem is because I work full time I never get to study and...
Yes yes but no one ever actually understands what anything means, which is why you have such high drop out rates in later year mathematics courses.
For a system a linear equations it doesn't make sense, because you're multiplying a row by a column.
okay, so what if I were in grade 1 and didn't understand multiplication ?
Do you have some examples ? Because when I looked at some examples for vector cross product it started to make some sense. Especially when they said it only exists in 3 dimensions.
I understand that the cross product, in lay mans terms doesn't exist unless we're in 3 dimensions.
When you multiply two matrices together I have been told you get something similar. I hear that this is because a matrix can be treated as a vector.
So if we are talking about measurable...
Awesome, thanks.
I just went y= p.exp(rt)=where t is time r is a variable of interest and p is a constant.
Plugged into into excel and then calculated MAPE and used solver to minimise it.
If I wanted to include 3 or 4 variables to od a multiple regresson could I simply go :
y=p*(...
yes I was thinking to solve it numerically using an iterations of some small number
yes my terminology will be off, sorry about that. I'm not an academic.
the reason is that there is that over a to b the gradient is steep but from points c to d the gradient becomes shallow, which means...
I notice that the examples always seem to talk about linear regressions, as in y=mx +c
So how I understand this is that you get your sum of squared residuals and your parameters and you basically find the parameters which minimise the SSE.
Would this mean, that you could essentially set up...
I think I just failed an exam :(
Ok so I am realistic about my life. I know I'm pretty much a failure.
Anyway I had a lot of luck about 4 years ago and got into a great job as a data analyst. It suits me 100% at this stage as I get to do things which interest me, write code ect, basically I...