Section 1.1 Displaying Distributions with Graphs
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To read : |
Course Policies Notes on Reading Assignments Section "Understanding Data" on pg 1 Introduction to Chapter 1 All of Section 1.1 |
Be sure to understand :
The defiintions of Data Analysis, Data Production, and Statistical Inference
The distinction between catagorical and quantitative variables
Examples 1.1, 1.3, and 1.5
Email Subject Line : |
Math 141-03 2/2 Your Name or Math 141-02 2/3 Your Name |
Reading Questions : Apply Your Knowledge 1.8 and 1.9
To read : | All of Section 1.2 |
Be sure to understand :
The definitions of mean, median, quartile, and standard deviation
Examples 1.7, 1.8 and 1.10
Email Subject Line : |
Math 141-03 2/7 Your Name or Math 141-02 2/8 Your Name |
Reading Questions : Apply Your Knowledge 1.28bc and 1.34ab
To read : | Section 1.3 through page 55 |
Be sure to understand :
The defintion of a density curve and the mean and median of a density curve
The defintion of a normal distribution and the 68-95-99.7 rule
Examples 1.11, 1.12
Email Subject Line : |
Math 141-03 2/9 Your Name or Math 141-02 2/10 Your Name |
Reading Questions : Apply Your Knowledge 1.51 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, 1.16 and 1.17
Email Subject Line : |
Math 141-03 2/14 Your Name or Math 141-02 2/15 Your Name |
Reading Questions : Apply Your Knowledge 1.56 and 1.58
To read : | The Introduction to Chapter 2 and all of Sections 2.1 and 2.2 |
Be sure to understand :
How scatterplots are formed
The distinction between positive and negative association
Examples 2.4 and 2.5
The section "Facts about correlation"
Email Subject Line : |
Math 141-03 2/16 Your Name or Math 141-02 2/17 Your Name |
Reading Questions : Apply Your Knowledge 2.2 and 2.17b
To read : | All of Section 2.3 |
Be sure to understand :
What the least-squares regression line represents
The distinction between explanatory and response variables
The defintion of residuals, outliers and influential observations
The section "Facts about least-squares regression"
Example 2.9
Email Subject Line : |
Math 141-03 2/21 Your Name or Math 141-02 2/22 Your Name |
Reading Questions : Apply Your Knowledge 2.18 and 2.31
To read : | All of Section 2.4 |
Be sure to understand :
The concept of lurking variables and concept that association does not imply causation
Examples 2.15, 2.16, and 2.18
Email Subject Line : |
Math 141-03 2/28 Your Name or Math 141-02 2/29 Your Name |
Reading Questions : Apply Your Knowledge 2.54 and 2.58