Studying Statistics

   I am learning how to code a predictive model in R. That is going to be my product, and I'll admit that it is a little daunting. I have a mentor who can help me code in R. Her name is Major Amber Coleman. She works in the United States Marine Corps. The first website below gives an outline on how to build a model. It focuses on hackathons, but it has a lot of useful information. In another website, I studied the some of the syntax of R.

  I looked up examples of misleading statistics, and how they are used to prove the statistician's or user's argument. There are precautions when you read those graphs, but there are some people who believe what they read.

   Then, for the rest of the time, I studied statistical methods used in the R programming language. I learned about linear models, regressions, and discriminant functions.

  This blog post is short because I did not do much outside of studying statistics.
 








Sources Used:
https://www.analyticsvidhya.com/blog/2015/09/perfect-build-predictive-model-10-minutes/
https://www.cs.cmu.edu/~schneide/tut5/node42.html
https://www.oxford-royale.co.uk/articles/4-ways-statistics-misused.html
https://www.theguardian.com/us-news/2017/mar/02/donald-trump-travel-ban-terrorism-data
http://lifehacker.com/how-to-lie-to-yourself-and-others-with-statistics-1788184031
http://www.dailymail.co.uk/sciencetech/article-2640550/Does-sour-cream-cause-bike-accidents-No-looks-like-does-Graphs-reveal-statistics-produce-false-connections.html
http://www.statmethods.net/advstats/index.html
https://www.tutorialspoint.com/r/r_basic_syntax.htm