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, January 18

  • Topics:
    • Introduction to the course   
    • Understanding and describing data:  Distributions
  • Reading:
    • Chapter 1

Monday:

  • Martin Luther King Day - no classes or office hours

Tuesday:

  • Introduction to the course

 

Thursday:

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

Friday:

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

Other Notes:

  • Office hours resume next week

Week 2: Monday, January 25

  • Topics:
    • Understanding data:  Distributions 
  • Reading:
    • Finish chapter 1

Monday:

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

Tuesday:

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

 

Thursday:

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

Friday:

  • Density curves and Normal Distributions (1.3)

Other Notes:

  • Office hours resume this week.  Office hours will be 11:00 MTThF or by appointment.
  • Next Monday (February 1) is the last day to drop without record

Week 3: Monday, February 1

  • Topics:
    • Understanding data:  Distributions 
  • Reading:
    • Finish section 1.3
    • Start chapter 2 (2.1 - 2.5)

Monday:

  • Density curves and Normal Distributions (1.3)
  • Looking at data relationships for two quantative variables (2.1)

Tuesday:

  • Looking at data relationships for two quantative variables (2.1)
  • Scatterplots
  • Correlation (2.2)

 

Thursday:

  • Least-squares regression (2.3)

Friday:

  • Least-squares regression (2.3)

Other Notes:

  • Monday (February 1) is the last day to drop without record

Week 4: Monday, February 8

  • Topics:
    • Understanding data:  Distributions 
    • Producing data
  • Reading:
    • 2.4 - 2.6
    • 3.1 - 3.3

Monday:

  • More discussion on linear regression

Tuesday:

  • Some concerns about regression (2.4)

 

Thursday:

  • Data relationship for two categorical variables (2.5)

Friday:

  • The question of causation (2.6)

Other Notes:

  • The first hour exam will be next week (Friday, February 19)

Week 5: Monday, February 15

  • Topics:
    • Generating data
  • Reading:
    • 3.1 - 3.4

Monday:

  • Design of experiments (3.1)

Tuesday:

  • Sampling Design (3.2)

 

Thursday:

  • Sampling Design (3.2)
  • Review for hour exam #1

Friday:

  • Hour Exam #1

Other Notes:

  • The first hour exam will be this week (Friday, February 19)

Week 6: Monday, February 22

  • Topics:
    • Gathering data
    • Introduction to probability
  • Reading:
    • 3.2 - 4.2
    • Please read carefully section 3.4 for Tuesdays class.  We will have a discussion on the issues raised in this section.

Monday:

  • Exam #1 returned and discussed

Tuesday:

  • Sampling Design (3.2)
  • Statistical inference (3.3)

 

Thursday:

  • Statistical inference (3.3)
  • Ethical considerations (3.4)

Friday:

  • Introduction to Probability (4.1)
  • Probability models (4.2)

Other Notes:

  • Monday, March 1, is the last day to withdraw with an automatic "W".

Week 7: Monday, March 1

  • Topics:
    • Introduction to probability
    • Sampling distributions
  • Reading:
    • 4.3.  We will not cover section 4.5.

Monday:

  • Probability models (4.2)
  • Happy St. David's Day!

Tuesday:

  • Probability models (4.2)
  • Random variables (4.3)
  • No office hours Tuesday

 

Thursday:

Friday:

Other Notes:


Week 8: Monday, March 8

Monday:

Tuesday:

 

Thursday:

Friday:

Other Notes:


Week 9: Monday, March 15

    SPRING BREAK!


Week 10:  Monday, March 22

Monday:

Tuesday:

 

Thursday:

Friday:

Other Notes:


Week 11:  Monday, March 29

Monday:

Tuesday:

 

Thursday:

Friday:

Other Notes:


Week 12:  Monday, April 5

Monday:

Tuesday:

 

Thursday:

Friday:

Other Notes:


Week 13:  Monday, April 12

Monday:

Tuesday:

 

Thursday:

Friday:

Other Notes:


Week 14:  Monday, April 19

Monday:

Tuesday:

Thursday:

Friday:

Other Notes:

 


Week 15:  Monday, April 26

Monday:

Tuesday:

 

Thursday:

Friday:

Other Notes:

 

 

 

 

 

 

 

 

 


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