(Last modified: Wednesday, February 21, 2001, 2:12 PM ) All numbers indicate sections from The Basic Practice of Statistics, Second Edition.
Section 1.1 Displaying Distributions with Graphs |
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
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
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
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
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
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
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