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Resources
 | StatLib:
StatLib is a project of the Department of Statistics at Carnegie Mellon University.
This web site contains a wide variety of resources related to statistics and
statistics education.
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| Rice
Virtual Lab in Statistics: This web site is organized
into four main sections – a hyperstat online book, a collection of simulations and
demonstrations, a set of case studies indexed along several dimensions, and an
"analysis lab" (a collection of basis statistical analysis tools).
Additionally, this web site includes a comprehensive glossary of statistics terms.
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| Yahoo on Statistics - Reference and Education.
Statistics related materials are indexed in two places inteh Yahoo organizing
scheme. Materials related to teaching and learning statistics are located in one
place (the education link above) while materials related to content of statistics such as
data and models are in another (the reference link above).
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| Addison Wesley Longman - Internet
Projects for Introductory Statistics: This web site contains links to
cases, explanations, and simulations aimed to supplement an Addison Wesley Longman
statistics textbook. Even though we will not be using that textbook, the resouces
provided on this web site may be helpful to you. |
| University of
Michigan "Documents Center": This web site contains links to
datasets and other statistical materials, organized by domain. Specifically, there
are links to resources for (a) agriculture, (b) business and industry, (c) consumers, (d)
cost of living, (e) demographics, (f) foreign governments, (g) foreign trade, (h)
government finances, (i) health, (j) housing, (k) labor, (l) economics, (m) education, (n)
environment, (o) finance and marketing, (p) foreign markets, (q) military, (r) politics,
(s) science, (t) sociology, (u) transportation, and (v) weather.
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| StatLib Datasets: The
StatLib website contains links to datasets sorted into 33 categories. Many of the
categories overlap with the University of Michigan Documents Center, although the datasets
in the categories do not necessarily overlap. The StatLib page also contains some
unique categories including (a) agriculture, (b) archeology, (c) biology, (d) Europe, (e)
engineering, (f) famous datasets, (g) legal, (h) medical, (i) nutrition, (j) music, (k)
space, and (l) sports.
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| Dr.
B's Wide World of Web Data: Simply another good site with a
wide variety of datasets indexed. The categories used by this site include -
agriculture, children & youth, crime & law enforcement, demographics, drug use
& abuse, economics, education, environment, food, government, history, language &
literature, medicince & health, recreation, sports, and social sciences. |
Cases, Examples, and Problems
| The "Rice
Virtual Lab in Statistics" Cases. Part of the Rice Virtual Lab in
Statistics project is a set of online statistics cases. Specifically, the web site
includes 7 case examples consisting of data, analyses and interpretation.
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| Hyperstat
Online - Part of the "Rice Virtual Lab in Statistics" project is an
online textbook. The textbook is linked to simulations, cases, and analysis tools
for added support in learning.
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| The
Cartoon Book of Statistics - Gonick and Smith (1993). Are you
looking for an alternative explanation for the statistics? This book covers a
variety of probability and statistics topics, through the use of cartoons. Specifically,
the following topics are covoered: (1) What is statistics, 2) Data description, (3)
Probability, (4) Random Variables, (5) Tale of 2 distributions, (6) Sampling, (7)
Confidence Intervals, (8) Hypothesis Testing, (9) Comparing 2 populations, (10)
Experimental design, (11) Regression |
The history of statistics is a relative recent one. Many of the standard
practices of statistics were developed in the early 1900's, although the underlying ideas
behind probabilistic phenomena, analysis of errors, and an acceptance of the inherent
uncertain of phenomena were ideas being developed over the past 300 years. Learning
about the history of statistics - including the people, the controversies, the debates,
and the major breakthroughs, provides context that may help some people to better
understand and remember the ideas and concepts of statistics. Some interesting
books on the subject include the following:
| Pearson, E.S. (1978). The History of Statistics in the 17th
and 18th Centuries against the Changing Background of Intellectual, Scientific
and Religious Thought: Lectures by Karl Pearson given at University College London during
the academic sessions of 1921-1933. Charles Griffin and Co, Ltd: London. |
| Owen, D.B. (1976). On the History of Statistics and Probability.
Marcel Dekker, Inc.: New York. |
| Porter, T.M. (1986). The Rise of Statistical Thinking 1820-1900,
Princeton University Press: Princeton. |
| Stigler, S.M. (1986). The History of Statistics: The Measurement of
Uncertainty before 1900, The Belknap Press of Harvard University Press: Cambridge. |
| Statistics: The Basic Principles of Statistics
for Introductory Courses (Notebook Outline). The bookstore
sells laminated 4 page outlines for statistics. The outline contains a lot of useful
reference information including: (a) Definitions of statistics, statistic, data,
population, parameter, sample, random sample, variable, (b) measures of central tendency
and dispersion, frequency distribution and grouping of data, graphing techniques,
Probability, Random variables, testing statistical hypotheses, that standard error of the
mean, distribution of continuous random variables, the central limit theorem, estimation
of parameters (biased and unbiased estimation, using the t statistic, using the z
statistics, confidence intervals and limits, the normal curve, critical values of t,
testing independence of samples, f test and f table, correlated samples, analysis of
variance, proportions, correlation, pearson r method, chi-square test.
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| How
to lie with statistics - Huff, D. (1993). The text addresses the
following issues, one in each chapter: (1) Sample with built in bias, (2) The well chosen
average, (3) The figures that are not there, (4) Much ado about practically nothing, (5)
The Gee Whiz Graph, (6) The one-dimensional picture, (7) The seei-attached figure, (8)
Post Hoc Rides Again, (9) How to statisticulate, (10) How to talk back to a statistic. |
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