Welcome back to my blog!
It’s been many months since I last touched statistics, so this week was all about review and preparation. Monday and Tuesday were spent skimming through the AP Statistics curriculum using The Practice of Statistics, with emphasis on conducting significance tests and creating confidence intervals. For the remainder of the week, I reviewed how to code in R with W.N. Venables and B.D. Ripley’s Modern Applied Statistics with S-PLUS. For the most part, the R and S programming languages can be considered equivalent, although it is important to note that there are slight differences. However, these differences are not significant to my project. I experimented with importing, organizing, and conducting tests with .RData and .csv files. I also reviewed important functions for vectors and matrices, which will be heavily relied on in data analysis. (A vector in R is a 1-D array of values that must all be of the same class).
After this week of review, I feel much more confident about my statistics and R skills. Next week will be a lot more exciting, as I will be locating the public summary data and planning how to go about importing.
Thanks for reading!