Statistics Across the Curriculum
A Faculty Development Program



This seminar focuses on the role of statistics and data analysis
in undergraduate natural and social science courses. Its focus is on sharing
applications of statistics that are central to each discipline, and a central
goal will be to identify themes common across disciplines. This seminar will
develop statistics modules that could be used in existing courses.
This course is being held in the Whitehead Campus Center 
Room 313 on Thursdays, 10:00am  Noon. Coffee and tea will be served.
Course Schedule
 September 11, Probability (Bayes’
Rule)  led by Rob Manning and Kaye Edwards (more
on Bayes
Theorem courtesy of Richard Ball, and a PowerPoint
presentation on An Introduction to Probability courtesy of Robert
Manning).
 September 18, Distribution  led by Rob Manning, Jeff TecoskyFeldman,
Phil Meneely and Lynne Butler (Rob Manning's Mathematica
Notebook on examples of Discrete Distributions)
September 25, Distribution continued (Rob Manning's
Mathematica
Notebook on Distribution of a Sample Mean)
October 2, Distribution continued (see Jeff Tecosky Feldman's presentations
on Random
Variable and Confidence
Intervals)
 October 9, Hypothesis Testing/pvalues  led by Iruka Okeke,
Richard Ball and Kaye Edwards (see Richard Ball's presentation on pvalues)
October 23, Hypothesis Testing/pvalues continued
 Please review the below readings that Kaye Edwards will
refer to:
 Here are some optional reading materials that Iruka
Okeke will refer to:
 October 30, Regression  led by Ben Le, Rob Scarrow, Richard
Ball and Julio dePaula (see Rob Scarrow's PowerPoint Presentation on
Introducing
Statistics in the General Chemistry Laboratory, Ben Le's presentation
on Correlation
and Multiple
Regression and Julio DePaula's PowerPoint presentation on Regression
Analysis and an Excel
worksheet addressing linear, nonlinear and multiple regression).
November 6, Regression continued (see Richard Ball's handouts on Pvalues
and Hypothesis Testing Multiple Regression Analysis and Pvalues
and Hypothesis Testing in Regression Analysis.)
 November 13, Analysis of Variance  led by Wendy Sternberg,
Julio dePaula and Lynne Butler (see Wendy Sternberg's presentation
on Analysis
of Variance).
 Readings include Chapters 11 & 12 from Aron &
Aron Statistics for Psychology, and optional readings include Devore
Ch. 10.
November 20, Analysis of Variance continued
 Readings for this week are as follows:
 December 4, Nonparametric statistics  led by Curtis Greene
 Thursday December 18, 10:00am  1:00pm, an informal get
together to discuss pedagogical issues.
Text books being used in this course are:
 Probability
and Statistics for Engineering and the Sciences, by Jay L. Devore
 Statistics,
by David Freeman, Robert Pisani and Roger Purves
 Calculated
Risks, How To Know When Numbers Deceive You, by Gerd Gigerenzer
 Functions
Modeling Change, A Preparation for Calculus, by Connally, HughesHallett,
Gleason, et al.
 Statistics
for Psychology 3rd Edition (2003), by Aron, A., & Aron, E.A.
Additional Useful Sources
 Courtesy of Julio DePaula, a PDF file on An
Introduction to Excel and a lab writeup that shows How
to do Linear Regression and Error Propagation with Excel.
 Courtesy of Iruka Okeke, this is a commentary from a journal
she reads regularly, Infection and Immunity.
Notably, "The statistical errors identified in Infection and Immunity
are comparable to those found in similar journals: 54% of the articles reviewed
contained errors of analysis (20%), reporting (22%), or both (12%). The most
common analysis errors are failure to adjust or account for multiple comparisons
(27 studies), reporting a conclusion based on observation without conducting
a statistical test (20 studies), and use of statistical tests that assume
a normal distribution on data that follow a skewed distribution (at least
11 studies). The most common reporting errors are unlabeled or inappropriate
error bars or measures of variability (15 studies) and failure to describe
the statistical tests performed (12 studies). " View the PDF file on
Review
of the Use of Statistics in Infection and Immunity.
Participants
From left to right: Richard Ball, Economics; Robert Manning, Mathematics;
Kaye Edwards, General Programs; Julio DePaula, Chemistry; Lynne Butler, Mathematics;
Curtis Greene, Mathematics; Benjamin Le, Psychology; Jeffrey TecoskyFeldman,
Mathematics; Philip Meneely, Biology;Wendy Sternberg, Psychology; Iruka Okeke,
Biology; and missing from the picture Robert Scarrow, Chemistry
Top of Page
If you have questions about this program email Kim
Minor.