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