6.2 Class Announcements

  1. You will be taking your second test this week. The test follows the same format as the first test, which we will discuss in live session. The test will cover:
    1. Unit 4: Conditional Expectation and the Best Linear Predictor; and,

    2. Unit 5: Learning from Random Samples.

  • Like the first test, our goal is to communicate to you what concepts we think are important, and then to test those concepts directly, and fairly. The purpose of the test is to give you an incentive to review what you have learned through probability theory, and then to demonstrate that you can produce work based on that knowledge.
  • There is another practice test on Gradescope, and in the GitHub repository.
  1. In rosier news, we’re moving out of the only pencil and paper section of this course, and bringing what we have learned out into the dirty world of data. This means a few things:
  • If you haven’t yet worked through the R Bridge Course that is available to you, working on this bridge course will be useful for you (after you complete your test). The goal of the course is to get you up and running with reasonably successful code and workflows for the data-based portion of the course.
  1. We will assign teams, and begin our work on Lab 1 in Live Session next week. This is a two-week, group lab that you will work on with three total team-mates. The lab will cover some of the fundamentals of hypothesis tests,