Previous Weeks in Math 160

This file will contain the week-to-week reading and lecture schedules.  At the end of the week the "this week" will be modified to reflect what actually happened and will be appended to this file.

Week 1:  Monday, August 30

  • Topics:
    • Introduction
    • Tools for data description
  • Reading:
    • Sections 1.1 - 1.2

Monday:

  • Introduction to the course

 

Tuesday:

  • Some history
  • What is data?  Entities and attributes
  • Describing data. (Section 1.1)
  • An introductory survey

 

Thursday:

  • Distributions
  • Tools for the graphical description of data  (Section 1.1)

Friday:

  • A Minitab demonstration
  • Histograms
  • Tools for data description using numbers (1.2)

Other Notes:

  • Classes begin Monday, August 30
  • Office hours begin next week
  • Next Monday, September 6, is Labor Day (no classes of office hours)

Week 2:  Monday, September 6

  • Topics:
    • Distributions
  • Reading:
    • Chapter 1

Monday:

  • Labor Day:  No classes or office hours

Tuesday:

  • Quantitative description of distributions.
  • Median and quartiles(1.2)
  • The IQR and outliers

 

Thursday:

  • A quick note on comparing distributions using boxplots.
  • First exercise set due (in class)

Friday:

  • The mean (average) and standard deviation (1.2)
  • Comparison of the average/standard deviation with the five-number-summary
  • Linear transformations
  • Density curves and Normal Distributions (1.3)

Other Notes:

  • Monday, September 6, is Labor Day (no classes of office hours)
  • Office hours resume Tuesday
  • Next Monday, September 13, is the last day to drop without record.

Week 3:  Monday, September 13

  • Topics:
    • Relationships
  • Reading:
    • Chapter 2

Monday:

  • Linear transformations
  • Density curves and Normal Distributions (1.3)

 

Tuesday:

  • z-scores and probability plots

 

Thursday:

  • z-scores and table A

Friday:

  • Scatterplots (2.1)
  • Correlation (2.2)

Other Notes:

  • Monday, September 13, is the last day to drop without record.

Week 4:  Monday, September 20

  • Topics:
    • Relationships
  • Reading:
    • Chapter 2.1 - 3.2

Monday:

  • Outliers
  • Least Squares Regression (2.3)

 

Tuesday:

  • Least Squares Regression (2.3)

 

Thursday:

  • Categorical explanatory variables (2.1)
  • Two-way tables (2.5)

Friday:

  • Two-way tables (2.5)
  • Some cautions about causations (2.6)

Other Notes:

  • The first hour exam will be next Friday, October 1

Week 5:  Monday, September 27

  • Topics:
    • Relationships
    • An introduction to probability
  • Reading:
    • Chapter 3.3 - 4.1

Monday:

  • Design of experiments (3.1)

 

Tuesday:

  • Using random numbers to assign subjects to experimental groups

 

Thursday:

  • Homework discussion
  • Review for exam 1

Friday:

  • Hour Exam #1

Other Notes:

  • The first hour exam will be this Friday, October 1

Week 6:  Monday, October 4

  • Topics:
    • Obtaining data
    • An introduction to probability
  • Reading:
    • Chapter 3.2 - 3.4

Monday:

  • No class - instructor ill

Tuesday:

  • Homework discussion

Thursday:

  • Exam 1 returned and discussed
  • Sampling design (3.2)

Friday:

  • Statistical inference (3.3)
  • Ethics (3.4)

Other Notes:

  • Next Monday, October 11 is the last day to withdraw with an automatic "W"

 

 

 

 

 

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