Math 141 - Introductory Statistics - Reading Assignments January & February 2001 Be sure to check back every so often, because this may change during the semester. (Last modified: Wednesday, February 21, 2001, 2:12 PM ) All numbers indicate sections from The Basic Practice of Statistics, Second Edition. For Wednesday January 31 Section 1.1 Displaying Distributions with Graphs Section 1.2 Describing Distributions with Numbers To read : Course Policies Notes on Reading Assignments Section "Understanding Data" on pg 1 Introduction to Chapter 1 All of Sections 1.1 and 1.2 Be sure to understand : The defintions of Data Analysis, Data Production, and Statistical Inference The distinction between categorical and quantitative variables Examples 1.3, and 1.5 The definitions of mean, median, quartile, and standard deviation Examples 1.7 and 1.8 Email Subject Line : Math 141 1/31 Your Name Reading Questions : Apply Your Knowledge 1.8 and 1.28 For Monday February 5 Section 1.2 Describing Distributions with Numbers Section 1.3 The Normal Distribution To read : Reread Section 1.2 on the standard deviation Section 1.3 through page 55 Be sure to understand : Example 1.10 The definition of a density curve Figure 1.15 Email Subject Line : Math 141 2/5 Your Name Reading Questions : Apply Your Knowledge 1.34ab and 1.52 For Wednesday February 7 Section 1.3 The Normal Distribution To read : Finish the section for today Be sure to understand : The defintion of standard normal distributions, z-score Examples 1.14, 1.15 and 1.16 Email Subject Line : Math 141 2/7 Your Name Reading Questions : Apply Your Knowledge 1.56 and 1.58 For Monday February 12 Section 2.1 Scatterplots Section 2.2 Correlation Section 2.3 Least-Squares Regression To read : The Introduction to Chapter 2 All of Sections 2.1 and 2.2 Section 2.3 through Example 2.9 Be sure to understand : The distinction between positive and negative association Examples 2.4 and 2.5 The section "Facts about correlation" Example 2.8 Email Subject Line : Math 141 2/12 Your Name Reading Questions : Apply Your Knowledge 2.1 and 2.17b For Wednesday February 14 Sick day. No class. For Monday February 19 Section 2.3 Least-Squares Regression Section 2.4 Cautions about Correlation and Regression To read : Finish Section 2.3 All of Section 2.4 Be sure to understand : The distinction between explanatory and response variables The defintion of residuals, outliers and influential observations The section "Facts about least-squares regression" Example 2.16 Email Subject Line : Math 141 2/19 Your Name Reading Questions : Apply Your Knowledge 2.54 and 2.58 For Wednesday February 21 Exam 1 today. No Reading Assignment. For Monday February 26 Section 3.1 Designing Samples Section 3.2 Designing Experiments To read : Introduction to Chapter 3 All of Sections 3.1 and 3.2 Be sure to understand : The distinction between an observational study and an experiment The distinction between the population and a sample The definitions of a simple random sample and a stratified random sample The section "Cautions about sample surveys", and Example 3.4 The section "The logic of randomized comparative experiments" Example 3.11 Email Subject Line : Math 141 2/26 Your Name Reading Questions : Apply Your Knowledge 3.8 and 3.33 For Wednesday February 28 Section 4.1 Randomness Section 4.2 Probability Models Section 4.3 Sampling Distributions To read : All of Sections 4.1 and 4.2 and Section 4.3 through page 243 Email Subject Line : Math 141 2/28 Your Name Be sure to understand : The sections "The idea of probability" and "Probability rules" Examples 4.4 and 4.6 The statment of the Law of Large Numbers Example 4.11 Reading Questions : Apply Your Knowledge 4.21 and 4.39 Math 141 Home | T. Ratliff's Home