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 31

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

Monday:

  • Linear transformations and the standard deviation
  • Density curves and the Normal distribution.(1.3)
  • Using the Normal distribution (1.3)
  • Introduction to the course
  • An introductory survey

Tuesday:

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

 

Thursday:

  • Distributions
  • Tools for data display (Section 1.1)
  • Tools for data description (Section 1.2)

Friday:

  • A Minitab demonstration
  • Tools for data description (1.2)

Other Notes:

  • Office hours resume next week
  • Next Monday (September 7) is Labor Day.  No classes or office hours.

Week 2: Monday, September 7

  • Topics:
    • Understanding data:  Distributions 
  • Reading:
    • Finish chapter 1
    • Begin reading chapter 2

Monday:

  • Labor day (no classes or office hours)

Tuesday:

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

 

Thursday:

  • The IQR and outliers
  • The standard deviation (1.2)

Friday:

  • The standard deviation (1.2)
  • Comparison of the average/standard deviation with the five-number-summary
  • Linear transformations

Other Notes:

  • Office hours resume this week.  Office hours will be 11:00 MTThF or by appointment.
  • Monday (September 7) is Labor Day.  No classes or office hour

Week 3: Monday, September 14

  • Topics:
    • Understanding data:  Relationships 
  • Reading:
    • Chapter 1:  1.2, 1.3
    • Chapter 2:  2.1 - 2.3

Monday:

  • No class - instructor ill

Tuesday:

  • Linear Transformations and the standard deviation (1.2)
  • Density curves and normal distributions (1.3)

 

Thursday:

  • Density curves and normal distributions (1.3)

Friday:

  • Scatterplots (2.1)

Other Notes:

  • Monday (September 14) is the last day to drop without record
  • Hour exam 1 will be next week (Friday, September 25)

Week 4: Monday, September 21

  • Topics:
    • Understanding data:  Relationships 
  • Reading:
    • 2.2 - 2.4

Monday:

  • Correlation (2.2)
  • Regression (2.3)

Tuesday:

  • Regression (2.4)

 

Thursday:

  • Questions on homework problems
  • Review for Hour Exam #1

Friday:

  • Hour Exam #1

Other Notes:

  • Hour exam 1 will be this Friday, September 25

Week 5: Monday, September 28

  • Topics:
    • Understanding data:  Relationships 
    • Experimental design
  • Reading:
    • 2.6, 3.1 - 3.2

Monday:

  • The role of r^2 and some other comments on regression (2.4)

Tuesday:

  • Two-way tables (2.5)

Thursday:

  • Exam #1 returned and discussed.

Friday:

  • Causation (2.6)
  • Producing data (3.1)
  • Design of experiments (3.1)
  • Sampling design (3.2)

Other Notes:

Week 6: Monday, October 5

  • Topics:
    • Statistical Inference
  • Reading:
    • 3.1 - 3.3

Monday:

  • Design of experiments (3.1)

Tuesday:

  • Design of experiments (3.1)
  • Sampling Design (3.2)

 

Thursday:

  • Homework returned and discussed
  • Discussion on homework problems
  • A note on Normal Quantile Plots (pages 68 - 72)

Friday:

  • An experiment in sampling (3.3)

Other Notes:

  • Next Monday, October 12, is the last day to withdraw with an automatic "W".  Please review the University's add/drop policy in the Academic Handbook (the Logger)
  • The second hour exam will be Friday, October 23 (Please note change from original schedule)

 

Week 7: Monday, October 12

  • Topics:
    • Statistical Inference
    • Introduction to probability
  • Reading:
    • 3.4
    • 4.1 - 4.2

Monday:

  • Ethical issues (3.4)

Tuesday:

  • Summary / wrap-up of chapter 3
  • Randomness and an introduction to probability (4.1)

 

Thursday:

  • Randomness and an introduction to probability (4.1)
  • Probability Models (4.2)

Friday:

  • Probability Models (4.2)

Other Notes:

  • This Monday, October 12, is the last day to withdraw with an automatic "W".  Please review the University's add/drop policy in the Academic Handbook (the Logger)
  • The second hour exam will be next Friday, October 23 (Please note change from original schedule)
  • Monday and Tuesday of next week is Fall Break.  No classes or office hours.

Week 8: Monday, October 19

  • Topics:
    • Statistical Inference
    • Introduction to probability
  • Reading:
    • 4.3

Monday:

  • Fall Break (no classes or office hours)

Tuesday:

  • Fall Break (no classes or office hours)

 

Thursday:

  • Review for Hour Exam #2

Friday:

  • Hour Exam #2

Other Notes:

  • The second hour exam will be this Friday, October 23 (Please note change in schedule)
  • Monday and Tuesday of this week is Fall Break.  No classes or office hours.

Week 9: Monday, October 26

  • Topics:
    • Introduction to probability
  • Reading:
    • 4.3 - 4.5

Monday:

  • Probability Models (4.2)

Tuesday:

  • Random Variables (4.3)

 

Thursday:

  • Continuous Random Variables (4.3)
  • Means and Variances of Random Variables (4.4)

Friday:

  • Means and Variances of Random Variables (4.4)

Other Notes:

  • Hour Exam #3 will be Friday, November 13

Week 10: Monday, November 2

  • Topics:
    • Sampling Distribution
  • Reading:
    • 4 4 (skipping section 4.5)
    • Chapter 5

Monday

  • Means and Variances of Random Variables (4.4)

Tuesday:

  • Sampling Distributions for Counts and Proportions (5.1)

 

Thursday:

  • Questions on the current homework assignment

Friday:

  • Questions on the current homework assignment
  • Sampling Distributions for Counts and Proportions (5.1)

Other Notes:

  • Hour Exam #3 will be next Friday, November 13

Week 11: Monday, November 9

  • Topics:
    • Introduction to Inference
  • Reading:
    • Sections 5.1 - 5.2, 6.1

Monday

  • Sampling Distributions for Counts and Proportions (5.1)

Tuesday:

  • The Sampling Distribution of a Sample Mean (5.2)

Thursday:

  • Discussion of homework
  • Review for Exam #3

Friday:

  • Hour Exam #3

Other Notes:

  • Hour Exam #3 will be this Friday, November 13

Week 12: Monday, November 16

  • Topics:
    • Introduction to Inference
  • Reading:
    • Sections 6.1 - 6.2

Monday

  • The Sampling Distribution of a Sample Mean (5.2)
  • The Central Limit Theorem (5.2)

Tuesday:

  • Estimating with confidence (6.1)
  • Exam #3 returned and discussed

Thursday:

  • Estimating with Confidence (6.1)
  • No office hours today

Friday:

  • Tests of Significance (6.2)

Other Notes:

  • Hour Exam #4 will be Friday December 4.  Please note that this is in the last full week of the term.
  • Wednesday, November 25 (next week), is a travel day.  No classes or office hours.
  • Thursday and Friday, November 26 and 27 (next week) are part of the Thanksgiving Holiday Break.  No classes or office hours.

 

Week 13: Monday, November 23

  • Topics:
    • Introduction to Inference
  • Reading:
    • Sections 6.2 - 6.4

Monday

  • Tests of Significance (6.2)

Tuesday:

  • Use and abuse of tests (6.3)
  • Power and Inference as a Decision (6.4)

Thursday:

  • Thanksgiving Break - No classes or office hours

Friday:

  • Thanksgiving Break - No classes or office hours

Other Notes:

  • Hour Exam #4 will be next Friday December 4.  Please note that this is in the last full week of the term.
  • Wednesday, November 25, is a travel day.  No classes or office hours.
  • Thursday and Friday, November 26 and 27 are part of the Thanksgiving Holiday Break.  No classes or office hours.

Week 14: Monday, November 30

  • Topics:
    • Introduction to Inference
  • Reading:
    • Sections 7.1 - 7.2

Monday

  • Power and Inference as a Decision (6.4)
  • Inference for the Mean of a Population (7.1)

Tuesday:

  • Inference for the Mean of a Population (7.1)

Thursday:

  • Inference for the Mean of a Population (7.1)
  • Review for Exam #4

Friday:

  • Hour Exam #4

Other Notes:

  • Hour Exam #4 will be this Friday December 4.  Please note that this is in the last full week of the term.

 

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