JAW.DAT in the save set "JAW STAT CATALOG" contains the "Microfiche Copy
of the Data Base for the Statistical Test Item Collection System." The informa-
tion found in this file is also stored on microfiche in the Office of Biometrics.
The file has been divided into several parts for ease of use. JAW01.DAT
contains the first 300 lines of the file; JAW02.DAT contains the next 300 lines;
etc. JAW.DAT is 3001 pages including white space when form feeds are used.
1
0
0
0 Microfiche Copy of the Data Base for
0 the Statistical Test Item Collection System
0 (STICS)
0
0 University of New Hampshire
0
0
0 National Science Foundation Project No. SED 76-12191
0 Jerry A. Warren Director
Alvin D. Bugbee Manager of the Statistical Item Collectio
H. Douglas Merrill Design and Development of Computer System
Fay A. Rubin Editor
0
0
0Copyrights for all items in this collection belong to the authors of individual
items. All authors have given general permission for reproduction. Persons
wishing to reproduce these items may do so freely using suitable acknowledgements.
0A complete list of contributors begins on page 8. Individual items were reviewed
in sets of 10 - 50. Reviewers are listed beginning on page 11. Contributors
of individual items have been identified only if an item completed the project's
review procedure. Thanks are extended to contributors, reviewers, the National
Science Foundation, and all others who have contributed to this project.
1
Table of Contents
0 Page
0Instructions for Use of Catalogue .................................1
0Explanation of Terms ..............................................2
(Taken from Technical Report #1 by A. Bugbee
and W. Geeslin)
0Special Symbols and Notation ......................................6
0List of Contributors ..............................................8
0List of Reviewers ................................................11
0Index of Primary Keyterms ........................................17
0Question Set .....................................................21
0Index of Secondary Keyterms ....................................2952
0
0 Instructions for Use of Catalogue
0 The principal tool available to persons looking for questions
of a specific nature is the list of primary keyterms located in the
beginning of the catalogue. A maximum of three primary keyterms
has been assigned to each question to try and indicate the main
concept(s) being covered by the question. Each primary keyterm in
the index is followed by two numbers: the former corresponding to
a page number and the latter corresponding to a question number.
These numbers indicate the starting point from which questions
dealing with the associated primary keyterm are listed. For
example, the two digits following the keyterm "PROBMODELS" are
32-2. This signifies that the questions in the catalogue having
"PROBMODELS" as a primary keyterm begin on Page 32 with question
number 2. The keyterm "EXPONENTIAL" is followed by the digits 0-0.
This indicates that there is no question in the catalogue associated
with that keyterm as primary.
0 Questions having multiple primary keyterms attached to them ap-
pear once under each topical category. However, in the interest of
brevity, the second and third time the questions appear, either an
abstract of the question or just the question (without the answer)
will be listed. The intent of the abstract is to convey the es-
sence of the question to the user, without necessitating an actual
listing of the full text and classification. This procedure was
applied to question #58-1, which has three primary keyterms. The
complete question text is listed under the first keyterm, "UNIFORM".
The remaining two times that the question will appear (under
"JOINTDISTRIBUTION" and "CONCEPT/OTHER"), the reader is simply made
aware of the general concept of the question via use of an abstract,
and notified of the page where the actual text appears. (In this
case, the abstract occurs at #67-2 and #460-2.) When inappropriate
(or impossible) to write an abstract for a question, or no abstract
has been written, the question text is printed out in its entirety
1 Page 2
0each time, but the user is referred to the initial listing for the
accompanying answer text. An example of this occurs with question
#473-2. The primary keyterms for this question are "EXPECTATION"
and "SIMPLEPROBABILIT". The complete question and answer texts
appear under the first keyterm. Under the second keyterm, only the
question text is listed, as can be seen at #480-2. The reader is
referred to the appropriate answer text.
0 Explanation of Terms
0 Effective cataloguing of items entered in the Diagnostic System
is secondary in importance only to the retrieval programs. Thus, we
have allowed for a large number of characteristics to be attached to
each individual question or problem. An effort has been made to
include a wide variety of types of characteristics. While a given
individual may be interested in only certain types of characteris-
tics, it is necessary to use as many classifiers as possible in
order to satisfy the needs of a large number of faculty and
students. A person wishing to retrieve items from the ques-
tion bank need only use those classifiers of particular interest
to him. Given below are the types of characteristics as well
as the necessary information for making effective use of the
characteristics.
0Keyterms
+________
0 The primary classification characteristic is the topic or
content keyterm. The original list of content keyterms was a
modification of the list of all topics taught in the thirty
introductory courses at UNH. These keyterms are arranged in a tree
structure as shown below. Thus, for example, any question which has
the keyterm Bayesian attached to it also has all the keyterms found
"above" Bayesian in the tree, such as Probability and Conditional
Probability, attached to it. As we classify questions, we sometimes
do not find a specific enough content keyterm available. If the
question meets the criteria for inclusion in the system, we add an
appropriate keyterm to the tree. The content category expands
somewhat during classification. A complete list of the current
topic keyterms is contained in the Index of Primary Keyterms
starting on Page 17.
0 Example of Tree Structuring
0Probability
Basic terms/p
Probability models
Probability distributions
Uniform
Normal
etc.
Expectation
Conditional Probability
Bayesian
Non Bayesian
1 Page 3
0 etc.
0Statistics
Basic terms/s
Non parametric
Chi Square
Goodness of fit test
Contingency table testing
etc.
Correlation/NP
RHO
TAU
Descriptive Statistics
etc.
Parametric
etc.
etc.
0 In order to try to designate the main idea of a question or
problem, up to three of the topic keyterms may be given primary
keyterm status. It is intended that this should enhance the
searching of the data base for particular types of questions. For
example, the keyterm "mean" might be attached to many questions,
since it is necessary to calculate the mean before advancing to
other procedures. However, questions with the keyterm "mean"
attached as a primary keyterm would concentrate solely on ideas
dealing with the calculation or comprehension of a mean.
0Cognitive Level
+_________ _____
0 Cognitive Level is the first category of question cha-
racteristics. A modification of Bloom's taxonomy used by the
NLSMA project was chosen as being the most useful. The four
cognitive levels are: computation, comprehension, application, and
analysis.
0Computation:
0items designed to require straight-forward manipulation of problem
elements according to rules the students presumably have learned.
Emphasis is upon performing operations, not upon deciding which
operations are appropriate.
0Comprehension:
0items designed to require either recall of concepts and generaliza-
tion or transfer of problem elements from one mode to another.
Emphasis is upon using concepts to produce a solution.
0Application:
0items designed to require (1) recall of relevant knowledge,
(2) selection of appropriate operations, and (3) performance of
operations. Items are of a routine nature requiring students to use
concepts in a specific context and in a way he has presumably
learned and practiced.
1 Page 4
0Analysis:
0items designed to require a non-routine application of concepts.
0 These characteristics can help insure that a test is not
entirely computational, a complaint of many faculty. The notion of
cognitive levels is also helpful in formulating and refining goals
for a course.
0Math Prerequisite
+____ ____________
0 The most notable distinction among introductory statistics
courses is whether or not the course has a calculus prerequisite.
Thus, each question requiring knowledge of calculus has its Math
prerequisite characteristic flagged. During the first year of the
project, our emphasis has been on questions not having a calculus
prerequisite.
0Area of Application
+____ __ ___________
0 Many educators and statisticians feel strongly that the context
of a question is an important instructional variable. Thus, we have
placed questions into eight categories: General (implying either no
specific context such as urns/balls or contexts equally common to
everyone's experience, such as sports, unicorns, current events,
etc.), Biological Sciences, Business, Economics, Education, Natural
Sciences/Technology, Psychology, Social Sciences and Sociology.
0Time Required and Difficulty Level
+____ ________ ___ __________ _____
0 Estimated average time requirements for a solution and
difficulty level of each question are attached as characteristics.
Difficulty level ranges from 1 (least difficult) to 9 (most
difficult). This level is an approximation of the percentage of
students expected to miss a question (e.g. level 5 indicates 50%
would answer incorrectly). Both difficulty level and time required
characteristics will be modified as we obtain student responses to
questions in the bank. However, students may be brighter and have
had more instruction, etc., and thus perform differently from the
average. The difficulty level should be more accurate as a rank
order of questions.
0Question Type, Equipment Necessary, and Auxiliary Information
+________ _____ _________ __________ ___ _________ ___________
0 Finally, several categories of characteristics refer to
question format or auxiliary items necessary for using the question.
Questions are classified as to whether they are multiple choice,
essay, fill-in, numerical answer (final answer is a number), short
answer (up to four sentences), true/false, and definition.
0 If a question requires the use of a calculator or computer, it
will be flagged appropriately, so that the instructor will use it
knowing that such devices should be available. Of course, some
1 Page 5
0problems can be worked with or without these devices. The following
guidelines were used in such cases:
0 1. If a problem involves taking a square root of
a non-perfect square, calculations involving
precision beyond three significant digits, or
involves excessive computational work such as
data sets with more than 20 cases, it will be
recommended that a computer be available.
0 2. If a problem could not be worked in a reason-
able amount of time by hand or with a calcu-
lator, i.e. some regression or analysis of
variance problems, it will be recommended
that a computer be available.
0 Since certain graphs and tables are inconvenient or impossible
to add to the computer files, a characteristic will be used to
designate such questions where a graph or chart is necessary. These
graphs and charts will be obtained from a file folder system.
Questions which have multiple parts are noted also. Here the user
needs to exercise caution in using such a question, since one part
of the question may involve techniques or knowledge not available to
the student. Lastly, a characteristic will be used to flag those
questions which require the usage of a statistical table so that the
instructor will have such tables available for the student.
1 Page 6
0 Special Symbols and Notation
0 Many symbols and notations used in statistics are very
inconvenient or impossible to implement on the computer. Therefore,
we have adopted the following notation to take the place of these.
Although at first inspection some of the conventions seem awkward
and hard to read, our experience has shown that students can quickly
adapt to most of them without much difficulty.
0X Squared X**2
0Square Root of X SQRT(X)
0X subscript I X(I)
0Natural log of X LN(X)
0Population variance for some SIGMA(X)**2
random variable X
0Sample variance for some random S(Y)**2
variable Y
0Sample mean subscript one for X(1)BAR or XBAR(1) or
some subscripted random XBAR1
variable X
0The Chi Square distribution CHISQUARE or CHISQ
will be denoted by
0Population Mean MU
0An estimated coefficient B BHAT
0Type 1 error value ALPHA
0Greek Letter Gamma GAMMA
0Greek Letter Beta BETA
0Greek Letter Lamda LAMDA
0Infinity INFINITY or INFNTY
0Greek Letter Pi PI
0e raised to the power X EXP(X) or e**X
0Union of two sets A and B (A UNION B)
0Intersection of two sets A and B (A INTERSECT B)
0Absolute value of X ]X] or ABS(X)
0S subscript X1, Y S(X(1),Y)
1 Page 7
0Sum of all the values of X SUM(X)
0Sum or the values of the sub- SUM(I = 1, 4) (X(I))
scripted variable X, starting
with the subscript = 1,
incrementing by 1, up to and
including 4
0Integrate the function of X INT (b/a) (f(X))dx
with respect to x from b to a
0Combination of 5 things taken (5C2)
two at a time
03 X 1 matrix contains the [5!
elements 5, 8, 2 [8!
[2!
0Symbol indicating that a value +/-
should be added and subtracted
0Symbol indicating ==
"Approximately equal to"
0Symbol indicating =/=
"Not equal to"
0Symbol indicating <=
"Less than or equal to"
0Symbol indicating >=
"Greater than or equal to"
1 Page 8
0 List of Contributors
0 The following people contributed test items to this collection.
Their assistance is gratefully acknowledged.
0Katherine Amsden Peter C. Apostolakos
Physical Education Dept. Political Science Dept.
Univ. of New Hampshire Cal. State College - Chico
0Loren Argabright Stanley Azen
Dept. of Mathematics & Statistics Dept. of Comm. Med. & Pub. Health
Univ. of Nebraska Univ. of Southern California
0James P. Barrett William H. Beyer
INER Dept. of Mathematics and Statistics
Univ. of New Hampshire Univ. of Akron
0Bruce Bosworth Alvin D. Bugbee
College of Business Administration Office of Biometrics
St. Johns Univ. Univ. of New Hampshire
0C. Ralph Buncher D. Bures
Div. of Epid. and Biostatistics Dept. of Mathematics
Univ. of Cincinnati Med. School Univ. of British Columbia
0Donald F. Butcher James Cerny
Dept. of Statistics and Comp. Sci. Computer Services
West Virginia Univ. Univ. of New Hampshire
0Howard B. Christensen Arthur Cohen
Dept. of Statistics Dept. of Statistics
Brigham Young Univ. Rutgers Univ.
0W. J. Dixon M. L. Eaton
Dept. of Biomathematics School of Statistics
UCLA Univ. of Minnesota
0Walter T. Federer William Geeslin
Biometrics Unit College of Education
Cornell Univ. Univ. of Georgia
0Krishan K. Gorowora W. J. Hall
Dept. of Mathematics Dept. of Statistics
Wright State Univ. Univ. of Rochester
0Richard D. Halley Ron Harrist
Dept. of Perf. Arts and Communication Biometry Dept.
Virginia Polytechnic Inst. Univ. of Texas
0E. Highland Robert V. Hogg
Dept. of Business Dept. of Statistics
Queensborough Comm. College Univ. of Iowa
0Carl J. Huberty Robert Hultquist
Univ. of Georgia Penn State Univ.
1 Page 9
0James Inglis Lawrence Jones
Applied Statistics Dept. Psychology Dept.
Bell Laboratories Univ. of Illinois
0J. G. Kalbfleisch Marvin Karson
Dept. of Statistics Dept. of Statistics
Univ. of Waterloo Univ. of Alabama
0David Kleinbaum Thomas R. Knapp
Dept. of Biostatistics College of Education
Univ. of North Carolina Univ. of Rochester
0Gail Knowlton Kenneth L. Koonce
Office of Biometrics Dept. of Experimental Stat.
Univ. of New Hampshire Louisiana State Univ.
0Robert H. Lochner S. R. Lowry
Mathematics and Statistics Biometrics and Info. Systems
Marquette Univ. Univ. of Nebraska
0R. E. Lund M. Anne Mathews
Dept. of Mathematics Div. of Public Health
Montana State Univ. Univ. of Massachusetts
0R. McLean George Miaoulis
Univ. of Tennessee Marketing Dept.
Wright State Univ.
0R. Dean Michener Jean L. Mickey
CEFS Biostatistics Div.
Univ. of New Hampshire UCLA
0J. Moonen John S. Mowbray
Dept. of Psychology Dept. of Math. & Comp. Science
Univ. of Van Leiden Shippensburg State College
0D. E. Muir Gottfried Noether
Dept. of Sociology Dept. of Statistics
Univ. of Alabama Univ. of Connecticut
0Ronald M. Paolino Robert Pruzek
Dept. of Psychiatry SUNY - Albany
Brown Univ.
0R. Rosenbaum Francisco Samaniego
Dept. of Business Dept. of Mathematics
Queensborough Comm. College UC Davis
0S. Selvin Al Shar
Program in Biostatistics Dept. of Mathematics
UC Berkeley Univ. of New Hampshire
0Richard J. Shavelson Jerry Shavlik
Dept. of Education Loma Linda Univ.
UCLA
1 Page 10
0Donald V. Sisson Sam Slowinski
Dept. of Applied Statistics Economics Research Unit
Utah State Univ. Federal Deposit Ins. Corp.
0James Stapleton Robert Steel
Dept. of Statistics and Probability Dept. of Statistics
Michigan State Univ. North Caroline State Univ.
0Hal Stephenson David W. Stockburger
Sterling Heights, Mich. Psychology Dept.
Southwest Missouri State Univ.
0Robert Stout Daniel F. Stubbs
Div. of Evaluation and Research Dept. of Comp. Sci. & Stat.
Butler Hospital Cal. Poly. State Univ.
0Sidney Sytsma Leonard J. Tashman
Big Rapids, Mich. Statistics Program
Univ. of Vermont
0Robert Tate Virginia Taylor
Dept. of Mathematics Dept. of Mathematics
Univ. of Oregon Univ. of Lowell
0Jerry A. Warren John Warren
Office of Biometrics Dept. of Statistics
Univ. of New Hampshire North Carolina State Univ.
0John L. Wasik Bruce Weir
Dept. of Statistics Dept. of Statistics
North Carolina State Univ. North Carolina State Univ.
0R. A. Wijsman Douglas Zahn
Dept. of Mathematics Dept. of Statistics
Univ. of Illinois Florida State Univ.
1 Page 11
0 List of Reviewers
0 The following people helped in the review of the test items con-
tained in this collection. Their assistance is gratefully acknowledged.
0
0Robert O. Abbott Wynn A. Abranovic
Dept. of Educational Psychology Graduate School of Admin.
Univ. of Washington Willamette Univ.
0Ronald Allison David E. Anderson
Franklin Square, NY Dept. of Psychology
Allegheny College
0William O. Anderson Peter C. Apostolakos
Dept. of Business Administration Political Science Dept.
St. Michaels College Cal. State Univ. - Chico
0Stanley Azen Gerald J. Beck
Dept. of Comm. Medicine & Pub. Health Dept. of Epid. & Public Health
Univ. of Southern California Yale Univ.
0Mary Sue Beersman Ashok Bhargava
Math Dept. Dept. of Economics
NE Missouri State Univ. Univ. of Wisc. - Whitewater
0Thomas W. Bolland Stephen A. Book
College of Business Admin. Dept. of Mathematics
Ohio Univ. Cal. State College
0Bruce Bosworth James K. Brewer
College of Business Admin. Dept. of Educ. Management Sys.
St. Johns Univ. Florida State Univ.
0William T. Brodnitski Alvin D. Bugbee
Norfolk, Conn. Office of Biometrics
Univ. of New Hampshire
0C. Ralph Buncher Hugh D. Callihan
Div. of Epid. and Biostatistics Univ. of Pitt. - Johnstown
Univ. of Cincinnati Med. School
0Lyle D. Calvin Edward Carroll
Dept. of Statistics Dept. of Educ. Statistics
Oregon State Univ. New York Univ.
0Melvin W. Carter John Castellan
Brigham Young Univ. Dept. of Psychology
Indiana Univ.
0Deann Christianson Jane Connor
Math Dept. Dept. of Psychology
Univ. of the Pacific SUNY - Binghamton
0Elliot M. Cramer Robert Cruise
Psychology Dept. Dept. of Statistics
Univ. of North Carolina Andrews Univ.
1 Page 12
0Wayne Daniel David Doane
Quantitative Methods Dept. School of Econ. & Management
Georgia State Univ. Oakland Univ.
0Edward Dudewicz Orpha K. Duell
Dept. of Statistics Dept. of Educ. Psychology
Ohio State Univ. Wichita State Univ.
0Phillip E. Duran Joseph Earley
Ohio State Univ. Dept. of Economics
Loyola Marymount Univ.
0Stefan Ehrilich E. Elmore
Dept. of Mathematics Dept. of Economics
Mount St. Marys College Stockton State College
0John D. Emerson Philip G. Enns
Dept. of Mathematics School of Business & Admin.
Middlebury College St. Louis Univ.
0Glenn C. Fenneman J. Leroy Folks
Dept. of Mathematics Dept. of Statistics
Wartburg College Oklahoma State Univ.
0Donald Freeburg Ronald Fryxell
Mathematics Dept. Math Dept.
Fitchburg State College Albion College
0Mark D. Galit Paul A. Games
Math Dept. College of Education
Essex County College Penn State Univ.
0Jane D. Gawronski Marilyn Gilchrist
Math Dept. North Lake College
San Diego County College
0Samuel Goldberg Marshall Graney
Math Dept. Dept. of Sociology
Oberlin College Wichita State Univ.
0John E. Groves Herbert Hamilton
Dept. of Statistics Sociology Dept.
Cal. Poly. State Univ. Lewis Univ.
0Kenneth Hammer Bernard Hanes
College of Business & Admin. Dept. of Health Studies
Univ. of Wisc. - Whitewater Cal. State Univ.
0Walter Hauck Larry D. Haugh
Dept. of Mathematics Statistics Program
Worcester Polytechnic Inst. Univ. of Vermont
0Richard Herbstrixt Joseph Hofmeister
Dept. of Statistics Cincinnati Country Day School
Gannon College
1 Page 13
0Don Holbert Clarence Holland
Statistics Dept. Psychology Dept.
Oklahoma State Univ. Georgia State Univ.
0John C. Howe James Inglis
Statistics Program Applied Statistics Dept.
Univ. of Vermont Bell Laboratories
0William Johnson Willard D. Keim
Dept. of Social & Criminal Justice Political Science Dept.
Central State Univ. Univ. of Hawaii
0John Kendall James L. Kepner
Math Dept. Statistics Dept.
Shelby State Comm. College Univ. of Iowa
0Roger E. Kirk David Kleinbaum
Psychology Dept. Dept. of Biostatistics
Baylor Univ. Univ. of North Carolina
0Judith Kneen Ronald Koteskey
Mathematics Dept. Dept. of Psychology
Montgomery College Asbury College
0Martin Kotler Kenneth R. Kundert
Bronx, NY Mathematics Dept.
Univ. of Wisc. - Platteville
0James Lee James Leeper
School of Public Health College of Comm. Health Science
Univ. of Hawaii Univ. of Alabama
0Martin Leverton Martin L. Levin
Dept. of Preventative Medicine Sociology Dept.
New Jersey Medical School Emory Univ.
0Robert Ling Charles H. Little
Dept. of Mathematical Sciences College of Business Admin.
Clemson Univ. St. Johns Univ.
0Craig B. Little Robert H. Lochner
Dept. of Sociology & Anthropology Mathematics & Statistics
SUNY - Cortland Marquette Univ.
0Janis A. Lonergen Michael Lupfer
Dept. of Economics Dept. of Psychology
Augustana College Memphis State Univ.
0Douglas Mains R. M. Mallen
Dept. of Sociology Mathematics Dept.
Cleveland State Univ. Santa Barbara City College
0Ann Martin David Mason
Dept. of Mathematics Dept. of Mathematics
So. Okla. City Junior College Univ. of Utah
1 Page 14
0M. Anne Mathews Thomas J. McCrystal
Div. of Public Health Psychology Dept.
Univ. of Massachusetts Capital Univ.
0Robert L. McKeage William Q. Meeker
Dept. of Business & Economics Dept. of Statistics
Univ. of Scranton Iowa State Univ.
0Chandra M. Mehrotra Ulrich Menzefricke
Psychology Dept. College of Business & Admin.
College of St. Scholastica Univ. of Arizona
0R. Bruce Mericle Thomas F. Moberg
Math Dept. Office of Computer Services
Mankato State Univ. Grinnell College
0Duane R. Monette Donal Muir
Dept. of Sociology Dept. of Sociology
Northern Michigan Univ. Univ. of Alabama
0Goro Nagase Gottfried Noether
Math Dept. Dept. of Statistics
Lincoln Univ. Univ. of Connecticut
0Esmat Nouri Fred Olson
Dept. of Statistics Dept. of Math
SUNY - Oneonta Winona State Univ.
0Steven Padgitt Minja Paik
Sociology Dept. Dept. of Statistics
Univ. of Wisconsin Cal. State Univ.
0Laurence Paquette Barbara J. Pence
Western New England College School of Education
Stanford Univ.
0R. N. Pendergrass David Pickard
Dept. of Mathematical Studies Dept. of Statistics
Southern Illinois Univ. Harvard Univ.
0Emil J. Posavac Robert Pruzek
Psychology Dept. SUNY - Albany
Loyola Univ.
0Frank Puffer David A. Pyne
Dean of Academic Affairs Dept. of Mathematical Science
Clark Univ. Johns Hopkins Univ.
0M. Y. Quereshi Karen Rappaport
Psychology Dept. Mathematics Dept.
Marquette Univ. Essex Community College
0Tom Renfrow James M. Robbins
Math Dept. Dept. of Sociology
Beloit College Tufts Univ.
1 Page 15
0Gerald S. Rogers Paul C. Rogers
Dept. of Mathematical Sciences Dept. of Mathematics
New Mexico State Univ. Univ. of Maine - Portland-Gorham
0Leland Roginsen George Ropes
Dept. of Sociology Goldens Bridge, NY
Univ. of Tennessee
0Dorothy B. Rosenberg Kenneth E. Rowe
Div. of Social Science Dept. of Statistics
Fairmont College Oregon State Univ.
0J. S. Rustagi Kenneth Schoen
Dept. of Statistics Mathematics Dept.
Ohio State Univ. Worcester State College
0R. M. Schrader R. Keith Schwer
Dept. of Mathematics & Statistics Norwich Univ.
Univ. of New Mexico
0Mady W. Segal Herman F. Senter
Sociology Dept. Dept. of Mathematical Science
Univ. of Maryland Clemson Univ.
0Richard G. Seymann Ron S. Sharma
Statistics Dept. Dept. of Biometrics
Lynchburg College Temple Univ. Medical School
0Donald F. Shriner John E. Silvia
Math Dept. Dept. of Business & Economics
Frostburg State College Saint Anselms College
0Sylvia W. Smoller Elmer Spreitzer
Dept. of Community Health Dept. of Sociology
Albert Einstein College of Medicine Bowling Green State Univ.
0Charles E. Stegman Hal Stephenson
Educational Research Sterling Heights, Mich.
Univ. of Pittsburg
0William Stock Robert Stout
Dept. of Educ. Psychology Div. of Evaluation and Research
Arizona State Univ. Butler Hospital
0Marc Swadener D. Sylvester
School of Education Statistics Program
Univ. of Colorado Univ. of Vermont
0Sidney P. Sytsma Victor Tang
Big Rapids, Mich. Math Dept.
Humboldt State Univ.
0Jack D. Testerman C. A. Theodore
University Relations Dept. of Business
Louisiana State Univ. Boston Univ.
1 Page 16
0John L. Van Iwaarden Theodore Wagenaar
Math Dept. Sociology/Anthropology Dept.
Hope College Miami Univ.
0Wilbur J. Waggoner Patricia Wahl
Math Dept. Dept. of Biostatistics
Central Michigan Univ. Univ. of Washington
0Donald G. Watts Donald G. Watts
Math & Statistics Dept. of Statistics
Queens Univ. Univ. of Wisconsin
0Gregory Weiss Reimut Wette
Sociology/Anthropology Dept. Div. of Biostatistics
Roanoke College Washington Univ. Medical School
0Arthur White Kenneth J. White
Mathematics Dept. Dept. of Economics
Ohio State Univ. Rice Univ.
0Carl Wiedemann Ray Williams
Dept. of Psychology Mathematics Dept.
City Univ. of New York Fort Lewis College
0Tom Stuart Witt Keith M. Wulff
Business & Economics Sociology Dept.
West Virginia Univ. Concordia College
0Richard A. Zeller
Dept. of Sociology
Bowling Green State Univ.
1Index of Primary Keyterms Page 17
PROBABILITY 21-1
BASICTERMS/PROB 25-2
PROBMODELS 42-1
PROBDISTRIBUTION 47-2
MULTIVARIATE/P 56-2
UNIFORM 58-1
JOINTDISTRIBUTIO 67-1
TDISTRIBUTION 78-2
FDISTRIBUTION 97-2
CHISQUAREDISTRIB 106-2
STANDUNITS/NORMA 119-1
TSCORE 123-2
ZSCORE 129-2
OTHER/ST 242-3
POISSON 250-1
BINOMIAL 271-2
NORMAL 364-2
NORMALPAPER 387-1
GRADINGCURVE 391-1
OTHER/N 393-1
MOMENTGENFN 415-1
DENSITYFN 421-1
CUMULATIVEFN 442-2
CONCEPT/OTHER 459-3
PROBFUNCTION 467-1
GEOMETRIC 471-1
HYPERGEOMETRIC 473-2
EXPONENTIAL 476-3
EXPECTATION 479-1
RANDOMVARIABLES 519-2
RANDOMNUMBERS 521-1
OTHER/RV 527-1
DISCRETERANVAR 529-2
CONTINUOUSRANVAR 531-3
CONDITIONALPROBA 533-2
NONBAYESIAN 542-3
BAYESIAN 566-1
COMBINATIONS 576-1
PERMUTATIONS 592-1
COUNTING 599-4
SIMPLEPROBABILIT 604-1
EVENTS 678-1
OTHER/EVENTS 681-1
INDEPENDENT 685-1
DEPENDENT 703-1
JOINTPROBABILITY 705-5
STATISTICS 714-5
BASICTERMS/STATS 715-2
NONPARAMETRIC 778-1
CHISQUARE 782-1
MCNEMARTEST 804-2
GOODNESSFITTEST 808-1
CONTINGENCYTABLE 848-1
CONFIDLIMITVAR 898-2
MEDIANTEST 908-1
TESTOFINDEPENDEN 918-1
TESTOFHOMOGENEIT 948-1
CORRELATION/NP 963-2
1 Page 18
RHO 970-1
TAU 992-1
KENDALLW 997-1
CRAMERSSTATISTIC 1002-1
OTHER/CORREL/NP 1004-4
SIGNIFICANCE/NP 1006-1
DESCRSTAT/NP 1010-1
MEDIAN 1010-3
MODE 1055-2
VARIABILITY/NP 1060-2
OTHER/V 1061-1
RANGE 1062-1
SCATDIAGRAM/NP 1069-3
BARCHART/NP 0-0
SKEWNESS/NP 1070-1
POPULATIONMOD/NP 0-0
OTHER/NP 1070-2
SIGNTEST 1074-2
WILCOXONSIGNRANK 1082-2
MANNWHITNEYTEST 1093-2
KOLMOGSMIRNOV 1114-2
KRUSKALWALLIS 1117-1
FRIEDMANTEST 1119-1
ORDERSTATISTICS 1121-2
CONCEPT 1123-1
DESIGN 1159-2
TESTING 1274-2
RELATEDSAMPLES 1364-2
INDEPENDSAMPLES 1385-1
ESTIMATION 1391-2
SAMPDIST/C 1397-3
CONSISTENCY 0-0
SUFFICIENCY 1401-3
EFFICIENCY 1402-1
UNBiASEDNESS 1402-2
CONFIDENCEINTERV 1417-1
SIMPLE/CI 1428-1
OTHER/CI 1514-2
MAXLIKELIHOOD 1549-1
MINVARIANCE 1550-2
ESTIMATION/OTHER 1551-2
POPULATION 1561-1
CENTRALLIMITTHM 1566-1
POWER 1586-2
TESTOFSIGNIFICAN 1602-2
TYPE1ERROR 1659-3
TYPE2ERROR 1700-3
TCHEBYSHEFFSTHM 1716-1
PREDICTION 1719-3
SCOPEOFINFERENCE 1726-1
PARAMETRIC 1741-2
DESCRSTAT/P 1742-1
CENTRALTENDENCY 1742-4
SCATDIAGRAM/P 1749-1
PROPORTION 1764-1
BARCHART/P 1792-1
MOMENT 1794-1
MEAN 1795-3
1 Page 19
VARIABILITY/P 1861-1
STANDARDDEVIATIO 1874-2
VARIANCE 1902-1
COVARIANCE 1954-2
STANDERROROFMEAN 1958-4
POPULATIONMODELS 1981-3
HISTOGRAM 1999-2
FREQDIAGRAM 2015-1
PERCENTILE 2030-4
FREQTABLE 2055-1
CLASSINTERVAL 2063-4
SKEWNESS/P 2064-4
STANDERROR/OTHER 2068-4
STEMLEAFPLOT 2093-6
VARIANCE/OTHER 2096-1
GRAPH/PICTOGRAPH 2119-1
COEFFVARIATION 2124-3
TTEST 2127-1
ONETAIL/T 2136-2
TWOTAIL/T 2157-3
OTHER/T 2192-5
REGRESSION 2200-2
MULTIPLE/REG 2220-1
SIMPLE/REG 2254-1
RESIDUALS/REG 2374-2
STANDARDERROR 2381-2
MULTIVARIATE/REG 0-0
OTHER/REG 2389-2
BASICTERMS/REG 2406-1
POLYNOMIAL/REG 2431-1
COEFFDETERMINAT 2442-2
ANCOVA 2450-1
CORRELATION/P 2451-2
SIGNIFICANCE 2453-3
PARTIAL 0-0
MULTIPLE/COR 2463-3
SIMPLE/COR 2464-1
BISERIAL 0-0
ANOVA 2520-2
OTHER/AN 2545-1
RESIDUALS/AN 2561-1
DEGREESOFFREEDOM 2564-1
COMPUTFORMULA 2575-1
FTEST 2576-3
TREATMENTASSIGN 2617-1
LATINSQUARE 2652-1
TWOWAY/LS 0-0
ONEWAY/LS 2670-1
NWAY/LS 0-0
RANDOMIZEDBLOCK 2670-2
TWOWAY/RB 2683-1
ONEWAY/RB 2683-4
NWAY/RB 2691-3
COMPLETELYRANDOM 2692-2
TWOWAY/CR 2699-1
ONEWAY/CR 2702-1
NWAY/CR 0-0
MULTIVARIATE/AN 2715-3
1 Page 20
SUMSOFSQUARES 2715-4
EXPERDESIGN/TERM 2725-3
INTERACTION 2767-1
MULTIPLECOMPARIS 2769-3
APRIORI 2773-4
TRATIO 2773-4
FRATIO 2773-6
DUNNS 0-0
APOSTERIORI 2774-3
LSD 2774-4
TUKEYSHSD 2780-3
SCHEFFESSMETHOD 2782-1
NEWMANKEULS 2783-2
DUNCANS 2783-3
DUNNETTS 0-0
ITEMANALYSIS 2784-1
ZTEST 2785-2
ONETAIL/Z 2787-2
TWOTAIL/Z 2802-2
OTHER/Z 2812-1
SAMPLING 2812-5
PROBABILITYSAMPL 2820-1
PROBSAMPCONCEPT 2820-3
SIMPLERANDOM 2825-3
STRATIFIED 2835-2
CLUSTER 2848-2
SEQUENTIAL 2854-2
SAMPLINGDISTRIB 2855-3
SAMPLESIZE 2868-1
SAMPLE 2890-3
CENSUS 2899-6
FRAME 2901-2
SAMPLINGERROR 2904-1
PRECISION 2906-1
UNCORRELATED 0-0
RANDOMVARIATION 2909-2
RANDOMNUMBERS/S 2910-4
CONVENIENCE/CHUN 2912-2
JUDGEMENTSAMPLIN 2914-1
NONSAMPLINGERROR 2916-2
ACCURACY 2919-2
OTHER/S 0-0
NONRESPONSE 2921-1
STRUCTURALLIMIT 2924-2
OPERATIONALFAULT 2924-3
TESTTHEORY 2925-3
RELIABILITY 2925-4
VALIDITY 2929-1
TESTCONSTRUCTION 2935-2
MISCELLANEOUS 2937-2
MODEL 2937-4
ASSUMPTCUSTOMARY 2946-4
APPLICATIONEX 2947-6
TYPICALPIC/GRAPH 2948-3
SIMPLEDATASET 2948-4
TYPICALSUMMARY 2949-1
COMMONPITFALLS 2949-2
COMPUTERPROGRAMS 2950-3