Schedule

Mon, Sep 5

• NO CLASS

Tue, Sep 6

• NO CLASS

Wed, Sep 7

• NO CLASS

Fri, Sep 9

• Questionnaire
• Introduction
• Randomization: Is Yawning Contagious?
• Watch MythBusters on yawning
• Homework:
  • Read OI, Ch. 1.1-1.3
  • Lab #1: Intro to R due Wednesday
  • HW #1 due Friday: Ex. 1.1, 1.4, 1.8 (End of chapter exercises in section 1.8)

Mon, Sep 12

• Data & Data Collection (link to Google Spreadsheet)
• Laptop Loan program
• Homework:
  • Read OI, Ch. 1-4, 1-5

Tue, Sep 13

• Intro to R and RStudio
• R Study Guide

Wed, Sep 14

• Sampling and Experiments
• Homework:
  • Read OI, Ch. 1.6

Fri, Sep 16

• Spurious Correlations
• Numerical data
• Homework:
  • Read OI, Ch. 1.7
    
  • Extra reading: Nature editorials on reproducible research

Mon, Sep 19

• Categorical data
• Correlation
• Homework:
  • Read OI, Ch. 5.1

Tue, Sep 20

• R Quiz (see R Study Guide)
• Intro to Data

Wed, Sep 21

• Simple Linear Regression
• Homework:
  • Read OI, Ch 5.2

Fri, Sep 23

• Least Squares Fitting
• Homework:
  • Read OI, Ch 5.3

Mon, Sep 26

• Outliers & Leverage
• Homework:
  • Read OI, Ch 6.1

Tue, Sep 27

• Linear Regression
  • Skip section on “Model Diagnostics” (including exercises)
  • Skip last “On Your Own” question

Wed, Sep 28

• Multiple Regression
• EC talk: Moneyball at Amherst Cinema, 7 pm tonight
• Homework:
  • HW #4 to be discussed on Friday but not submitted

Fri, Sep 30

• REVIEW SESSION
• EXAM 1 begins at 1 pm

Mon, Oct 3

• NO CLASS – OFFICE HOURS INSTEAD

Tue, Oct 4

• NO LAB
• EXAM 1 ends at library close
• Homework:
  • Read OI, Ch 2.1-2.2

Wed, Oct 5

• MOUNTAIN DAY – NO CLASS

Fri, Oct 7

• Project reminder
• Randomization Case Studies
• Homework:
  • Read OI, Ch 2.3

Mon, Oct 10

• NO CLASS – FALL BREAK

Wed, Oct 12

• Group Roster Due
• Data Scientist Shannon Cebron on Why She Loves Coming to Work
• Hypothesis Testing
• Homework:
  • Read OI, Ch 2.4-2.5

Fri, Oct 14

• Simulation
• Homework:
  • Read OI, Ch 2.6

Mon, Oct 17

• Happenings in the world of Statistical Significance:
  • Statistican Wanted
  • Psychology Journal Bans p-Values
• Normal Distribution
• Homework:
  • Read OI, Ch 2.7

Tue, Oct 18

• Sampling Distributions
• Lab CSS file
• Extra Credit talk:
  Jessica Utts, ASA President
  Understanding p-values and the Controversy Surrounding Them
  McConnell 103, 4:30 pm

Wed, Oct 19

• Applying the normal model
• Confidence Intervals
• Initial Project Proposals due (upload to Moodle)
• SDS Presentation of the Major
  Season’s Room, Ford Hall, 12 pm
• Homework:
  • Read OI, Ch 2.8

Fri, Oct 21

• Data Science for Social Good
• Confidence Intervals
• Homework:
  • Read OI, Ch A.1
• 2016 Electronic Undergraduate Statistics Research Conference
  Sabin-Reed 351, 12 - 4:30 pm (drop by )

Mon, Oct 24

• Probability
• Link to Google Spreadsheet
• Homework:
  • Read OI, Ch A.2

Tue, Oct 25

• Confidence Intervals (skip Ex. 3)

Wed, Oct 26

• Conditional Probability
• Homework:
  • Read OI, Ch A.3

Fri, Oct 28

• Eating red meat causes cancer?
• Random Variables
• Homework:
  • Study for Exam!
• EXAM 2 begins at 2 pm

Mon, Oct 31

• Probability cleanup

Tue, Nov 1

• Probability

Wed, Nov 2

• NO CLASS
• Office Hours in SR 301
• EXAM 2 ends Thursday night at library close
• Homework:
  • Read OI, Ch 3.1

Fri, Nov 4

• Testing The Standards: Do Gender Differences Matter For Combat?
• Inference for a single proportion
• Homework:
  • Read OI, Ch 3.2

Mon, Nov 7

• Latest poll
• Learning to See Data
• Difference of two proportions
• Homework:
  • Read OI, Ch 3.3

Tue, Nov 8

• Inference for Categorical Data
• Lab CSS file
• ELECTION DAY - Vote!

Wed, Nov 9

• Can Data Stop Car Wrecks
• Election processing

Fri, Nov 11

• How Data Failed Us in Calling an Election
• Batting Average Records
• Goodness of fit
• Homework:
  • Read OI, Ch 3.4

Mon, Nov 14

• Independence
• Homework:
  • Read OI, Ch 4.1

Tue, Nov 15

• Inference for Numerical Data

Wed, Nov 16

• One sample means
• EC webinar: Teaching Reproducible Research
  
• Homework:
  • Read OI, Ch 4.2-4.3

Fri, Nov 18

• Voices: Statistics might be the most important class you take in college
• Paired data
• Difference of Two Means
• Homework:
  • Read OI, Ch 4.4

Mon, Nov 21

• ANOVA
• Homework:
  • Read OI, Ch 4.5

Tue, Nov 22

• Normal Distribution (due Thursday 12/1 just before midnight)

Wed, Nov 23

Mon, Nov 28

• Winters in Boston
• Type I and II errors
• Bootstrapping the standard deviation (optional)
• Inference for Regression
• Homework:
  • Review OI, Ch. 5.1-5.3
  • Read OI, Ch 5.4

Tue, Nov 29

• Multiple Regression (skip Ex. 15)

Wed, Nov 30

• Bootstrap for regression
• Thursday office hours: 2 - 3:30 pm
• Homework:
  • Review OI, Ch. 6.1
  • Read OI, Ch 6.2

Fri, Dec 2

• Regression diagnostics
• EXAM 3 begins at 11 am

Mon, Dec 5

• NO CLASS
• Office Hours in SR 301

Tue, Dec 6

• Projects
• EXAM 3 ends Tuesday night at library close
• EC talk:
  Christine Zhang ’06
  Data Journalism at the Los Angeles Times
  McConnell 103, 4:30 pm

Wed, Dec 7

• Projects
• Office Hours 2–3:30 pm today
  Office Hours canceled Thursday

Fri, Dec 9

• Projects