
Seven Pillars of Statistical Wisdom by Stephen M. Stigler.
"What gives statistics its unity as a science?
Stephen Stigler sets forth the seven foundational ideas of statistics―a
scientific discipline related to but distinct from mathematics and computer
science." "I will not try to tell you what statistics is  or is not. I
will attempt to formulate seven principles, seven pillars that have
supported our field in different ways in the past and promise to do so into
the indefinite future." TOC 1. Aggregation: From Tables and Means to Least
Squares 2. Information: Its Measurement and Rate of Change 3. Likelihood:
Calibration on a Probability Scale 4. Intercomparison: WithinSample
Variation as a Standard 5. Regression: Multivariate Analysis, Bayesian
Inference and Causal Inference 6. Design: Experimental Planning and the Role
of Randomization 7. Residual: Scientific Logic, Model Comparison and
Diagnostic Display. "The usefulness of [these] seven basic statistical
ideas: 1. The value of targeted reduction or compression of data. 2. The
diminishing value of an increased amount of data. 3. How to put probability
measuring stick to what we do. 4. How to use internal variation in the data
to help in that. 5. How asking questions from different perspectives can
lead to revealingly different answers. 6. The essential role of the planning
of observations. 7. How all these ideas can be used in exploring and
comparing competing explanations in science.
Introduction to Statistical Investigations
by Tintle, Chance, Cobb, Rossman, Roy, Swanson
& VanderStoep (2015).
Wiley Description & TOC
2014pb
The Math Myth and Other STEM Delusions
Book by Andrew Hacker.
The Wrong Way to Teach Math
2/2016. NY Times
Is Algebra Necessary? 7/2012 NY Times. Reviews:
Goldstein
"Hecker: Down with Algebra II". 2012 Rebuttals:
Mehta,
Devlin. 2016 Rebuttals:
Devlin
Statistical
Inference for Managers. Milo Schield. ASA JSM
6up
1up
Added StatLit.org webpage for
Jerome Cornfield.
July 2015
The Improbability Principle: Why Coincidences, Miracles, and Rare Events
Happen Every Day by David Hand.
TOC:1 The Mystery; 2 A Capricious Universe; 3. What is Chance? 4 The Law of
Inevitability; 5 The Law of Truly Large Numbers; 6 The Law of Selection; 7
The Law of the Probability Lever; 8 The Law of Near Enough; 9 The Human
Mind; 10 Life, the Universe and Everything; 11 How to Use the Improbability
Principle.
What is
wrong with THE Introductory Statistics Course. Schield USCOTS
2015.
Statistical
Literacy roundtable
New classroom video:
Statisticians: Making our World a
Better Place. Schield 2015 USCOTS. 4.5 minutes
April 29: Congratulations go to Tyler
VanderWeele, winner of the 2015 ASA “Causality in Statistics Education
Award” for his book “Explanation in
Causal Inference” (Oxford, 2015). The award ceremony will take place at the
2015 JSM conference, August 813, in Seattle. Another good news, Google has
joined Microsoft in sponsoring next year’s award, so please upgrade your
2016 nominations. For details of nominations and selection criteria, see
www.amstat.org/education/causalityprize/. Source:
www.mii.ucla.edu/causality/?m=201504
Aug
4. "Willful Ignorance" by Herb Weisberg (picture above) is now
available!! [Editor: This book is my #1 pick for 2014.]
Weisberg's grasp of statistical history
is comprehensive without being overwhelming. But this is more than
just a history book on statistics. Weisberg has a point to make 
that statisticians have mismeasured uncertainty! And this mismeasurement
involves "willful ignorance"!!! These are fighting words for
statisticians who consider the proper measurement of uncertainty to be their
primary task. For more details on Herbert Weisberg, visit
his page. If you buy one
statistics book this year, buy this one!
Amazon US
Two Big Ideas for Teaching Big
Data: Coincidence and Confounding
by Milo Schield. ECOTS invited paper
downloaded 4,200 times in the seven months it has been
posted in 2014. See also Schield
slides presented at Big
Data panel.
"I hope that...statistical literacy
will...rise to the top of your advocacy list" Ruth Carver,
ASA 2012
Presidential Address
29% of US Freshman took stats in high school
(15% took AP Stats), so 14% took nonAP Stats. 2012 Am. Freshman
Spurious Correlations
(More than 9,000 computergenerated as of 5/2014):
For example: Number of people who died by
becoming tangled in their bed sheets correlates with Total revenue generated
by skiing facilities (US). [Great examples, but a high correlation
coefficient between two times series does not imply statistical significance
 much less a causal connection. See
Crosscorrelation. Editor]
2014 10: Highest Monthly Downloads: October had
45,000
downloads from this site: the highest number in our tenyear history.
Last year's monthly high was 26,000 in May. The biggest cause is
the download of the the PowerPoint demos to create various statistics and
models using Excel: over 67,000 YTD. The "CreateLognormalExcel2013"
demo has had 36,000 downloads so far this year.
2014 11: Highest Monthly Index Views @
StatLit.org:
November had 6,200 index views 
33% more than last year's monthly high.
Judea Pearl
(above) sponsors
ASA
Causality in Statistical Education Award. The committee is pleased to announce that a
gift from Microsoft Research will enable the prize to double in 2015. A
$10,000 prize or two $5,000 prizes will awarded this year.
For additional information about the award,
see the
2012
announcement, the
2013
winner and the
2014 winner.
Nominations and questions should be sent to the ASA office at educinfo@amstat.org.
The nomination deadline is February 15, 2015. Visit www.amstat.org/education/causalityprize/
for nomination information.
DEFINITIONS
"Statistical literacy is the ability to
read and interpret summary statistics in the everyday media: in graphs,
tables, statements, surveys and studies. Statistical literacy is
needed by data consumers – students in nonquantitative majors: majors with
no quantitative requirement such as political science, history, English,
primary education, communications, music, art and philosophy. About 40% of
all US college students graduating in 2003 had nonquantitative majors."
By Milo Schield in "Assessing Statistical Literacy: Take CARE" Ch 11 in
Assessment Methods in Statistical Education, pp. 133152.
Wiley 2010 Schield excerpts
Short introduction to Statistical Literacy.
For more on confounding, see Standardizing.
UK Parliament Briefing paper on Statistical Literacy
Statistical literacy: "the ability to
read and interpret statistics, and think critically about arguments that use
statistics as evidence"
United Nations
Development Dictionary (move slider to "s") [link broken/missing in
2012]
Statistical literacy: "understanding
the basic language of statistics (e.g., knowing what statistical terms and
symbols mean and being able to read statistical graphs), and understanding
some fundamental ideas of statistics."
GAISE College Report
STATLIT NEWS 
Search StatLit Site 


Yearly highlights of grants, new books, conference papers (ICOTS, ISI,
JSM, JMM), and events involving statistical literacy.

NEWS 
Newest StatLit.org web pages:

MOST IMPORTANT StatEd JOURNAL
ARTICLE SINCE 2002
If you read just one article,
read
Challenging the state of the art in postintroductory statistics
by Tintle, Chance, Cobb, Rossman, Roy, Swanson and VanderStoep.
"By introducing confounding as 'one of the two major themes in
statistical analysis' this paper is arguably the most important
paper in statistical education since 2002 when Howard Wainer
publicized 'The BKPlot: Making Simpsons' Paradox Clear to the
Masses'. The Wainer and Tintle papers mark a new
beginning of statistics education for the 21st century." Milo Schield,
StatLit Editor

ARTICLES/SLIDES POSTED in
2015 
2015 ARTICLES POSTED TO
STATLIT.ORG (by Month)
01
Challenge Statistical Claims in Media, MartinezDawson ASA 2013

2015 SLIDES and WORKSHEETS HOSTED
(by month)
07 2013 MSMESB: MS Business Analytics program.
Nargundkar.
slides

ARTICLES/SLIDES POSTED in
2014 
2014 ARTICLES POSTED TO
STATLIT.ORG (by Month)
12
AMSTAT: Causality in Statistics Education Award 2013.
ASA
News
12
Most
stat analysis not done by statisticians Simply Statistics 2013
12
Simpson's Paradox in Psychological Science by Kievit et al. 2013.
12
Statistical Literacy Explained by Hewson, Teaching Statistics, 2013
12
Headlines
in a MathLiterate World by Orlin, Huffington Post, 2013
12
RSS GetStats
Statistical Literacy Campaign and Initiatives. 2014
12
SIGMAAQL 2013 Newsletter. Bennet: Writing for general
public.
11
Call for Statistical
Literacy papers. 2014 StatEd Research Jrnl.
11
Relative Risk
Cutoffs for Statistical Significance. Schield 2014
10
SRTL9 Proposal: Informal Doorways to Modeling. Schield 2014
09 Limitations
and Uses of Convenience Samples Kriska et al. ASA 2013
09
Seeing how Statistical Significance is Contextual. Schield 2003.
08
Simpson's Paradox #30 Classic Problems in Probability. Gorroochurn
08
Simon Schild Maps: Bellenberg Germany & Benton County IA. 2014
08
Schild Family
journey from Bellenberg Germany to America. 2002
07
2013 MSMESB/DSI Annual Report
by Robert Andrews
07
Odyssey: Lifelong Statistical Literacy Schield 2014 ICOTS
slides
05
Two Big Ideas for Teaching Big Data Schield ECOTS 2014
slides
04
Teaching Big Data at
Georgetown. Sigman et al. Decision Line 2014
03
Augsburg TIDES
Proposal: Summary AACU Schield 2014
Full proposal
02
Augsburg's NSF Proposal:
Summary. Schield 2014
Full
01
Visualization of Economic Indicators.
Thompson+Wallace. ASA 2013.
01
Fusion & causal analysis in big marketing data. Mandel ASA 2013
01 Check
Distributional Assumption: Benford’s Law. Goodman ASA 2013
01
Challenge Statistical Claims in Media, MartinezDawson ASA 2013

2014 SLIDES and WORKSHEETS HOSTED
(by month)
11 Business Analytics and Data Science. Schield
DSI 2014 slides
10 Statistical Literacy+Coincidence. Schield NNN1
Workshop 2014 slides
10 Explore LogNormal Incomes Schield NNN2 2014
Slides xls
Update
10 Creating Distributions Empirically. M.
Schield. NNN3 Workshop
Slides
10 StatisticallySignificant Correlations. Milo
Schield. NNN4 2014
Slides
10 Segmented Linear Regression. Schield. NNN5
Workshop 2014
Slides
08 Top 30 Learning Goals for
Introductory Sociology. Persell 2010
List
08 Social Science Reasoning & QL Learning Goals Caulfield+Persell'06List
07 2013 MSMESB: Predictive Analytics
course. Levine et al.
slides
07 2013 MSMESB: Spreadsheet Analytics. James R.
Evans.
slides
07 2013 MSMESB: Implications of Big Data for Stat
Ed. Berenson slides
07 2013 MSMESB: Big Data & Statistics
Instruction. Berenson
slides
07 2013 MSMESB: Big Data in Stat 101: Small
changes. McKenzie slides
07 2013 MSMESB: Create Business Analytics class.
Kirk Karawan. slides
07 2013 MSMESB: Getting Analytics into the
curriculum. Karawan. slides
07 2013 MSMESB: Analytics and the Evolving
Workforce. LaBarr.
slides
07 2013 MSMESB: MS Business Analytics program.
Nargundkar.
slides

TOP DOWNLOADS: 2015 
Top 20 Downloads of Papers (Months
stats tabulated):
8,172 Responsible Stats...to Shape Public Opinion by Nelson
6up
'11 (12)
3,348
Percentage
Graphs in USA Today Schield 2006 Total 100,052 (12)
2,674
Two Big Ideas for Teaching Big Data
Schield 2014 ECOTS (9)
2,404
Practical Approach Intro PoliSci
Statistics Course Klass 2004 (12)
2,231 Framework Interpreting
Tables & Graphs Kemp/Kissane 2010 (12)
2,196
Statistical
Literacy Guide. Bolton, UK 2009
(11)
2,020
Likert &
Visual Analog Scales Tom Knapp 2013
(8)
1,518 Making Statistics Memorable: New
Mnemonics Lesser 2011 JSM (9)
1,367
Presenting Confounding Graphically/Standardization Schield '06
(8)
1,336 Statistical
Literacy Curriculum Design Schield, 2004 IASE
(8)
1,063
Substantive significance of
regression coef. Miller 2008 ASA
(7)
993
Statistical
Literacy in Adult College Students Wade 2009 Thesis (4)
894 Check Distributional
Assumption: Benford’s Law Goodman 2013 (5)
869
Interpreting the Cumulative Frequency
Distribution Winkler 2009 (6)
700
Statistical Literacy: New Mission for Data Producers Schield '11 (3)
653 Statistical Inference for
Managers Schield ASA 2015
(3) 
Top Downloads of ExcelRelated Slides (All by Schield)
1. 13,167 Create lognormal in Excel 2013.
Slides
2. 5,717
Model using Linear Trendline 2Y1X Excel
2013.
Slides
3. 4,989 TTest command with Excel
2013
Slides
4. 2,381
Create
histograms using functions w Excel 2013
Slides
5. 1,930 Create Pivot Tables using Excel 2008
Slides
6. 1,889
Model using Linear Trendline Excel 2013
Slides
7. 1,468
Graph nominal data w Excel 2013
Slides
8. 1,367
Using the Ztest via functions in Excel
2008 Slides
9.
952 Model Logistic
Regression MLE using Excel 2013.
Slides
10 802 Model Toolpak Regress linear 3
factor 1Y2X Excel 2013.
Slides
11 762 Model Logistic Regression OLS1C
Excel 2013
Slides 
TOP
POPULAR STATLIT AUTHORS IN 2013 


GIGERENZER




TOP
ACADEMIC STATLIT AUTHORS IN 2013 



BENNETT



MOST POPULAR STATLIT PAPERS in 2013 

Percentage
Graphs in USA Today. Milo Schield 2006 ASA Proceedings.

Statistical Literacy: Uses & Abuses of Numbers by Andrew Nelson
6up

Presenting Confounding Graphically Using Standardization
by Milo Schield. 2006 STATS magazine.

Statistical
Literacy: A New Mission for Data Producers by Milo Schield. 2011
SJIAOS 
Univ. Texas San Antonio: Quantitative Scholarship  Final Draft
Press release 2009

Statistics for Political Science
Majors. Gary Klass 2004 ASA


OTHER RECOMMENDED INTRO BOOKS 

Victor Cohn (1989),
News and Numbers

Darrell Huff
(1954),
How To Lie with Statistics


Edward Tufte (1995),
Visual Explanations

ACADEMIC TOPICS 

Articles

S/L Books


Courses

Q/L Texts

RECOMMENDED ARTICLES 


Webaccessible articles
presenting a general background or overview. Statistical Literacy:
Quantitative Literacy:

Thirteen articles involving the W. M. Keck Statistical Literacy Project:

STATISTICS GUIDES 


Making
Sense of Statistics by Nigel Hawkes and Leonor Sierra. Section
1: If a statistic is the answer, what was the question?
Section 2: Common pitfalls. Section 3: How sure are we?
Section 4: Percentages and risk; knowing the absolute and relative
changes.

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