Read the following chapters in Introductory Statistics with Randomization and Simulation before class on November 20:
Chapter 2: read 2.5, 2.6
Note: The textbook spends some time discussing how to use Z scores and probability tables for evaluating the normal distribution. If you have a difficult time following that part, do not worry too much about it, focus on the general concept instead of the technical details. The
qnorm() functions in R yield the same information as Z scores and probability tables.
Chapter 2.5 discusses the practical consequences of the Central Limit Theorem and chapter 2.6 discusses the normal distribution.
Write a post in this thread that contains at least 2 questions you had about this reading before the end of the day on November 21. If you have more than 2 questions, that is okay! This is to help you learn.
Your questions should be written as complete sentences, and make sure that you include enough context in your post that other students will understand what you’re asking about.
Read through the questions asked by other students in this thread. Answer one of the questions using full sentences before the end of the day on November 27. When answering the question, tag the student that asked the question by typing
@username, replacing the word “username” with their actual Github account name. In addition, tag me
@jkglasbrenner and the CDS-101 grader
@shuaibm at the top or bottom of your response.