The use of APL in the teaching of probability

Smillie, K. W.

doi:10.1145/800269.810845

Cited by 3 publications

(4 citation statements)

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“…Although the present paper has focused on social science research applications, the interactive nature and algebraic format of APL also promise educational benefits (Smillie, 1974). Operating in algebraic and matrix notation, which allows simple description of involved computations, and providing immediate &dquo;feedback,&dquo; APL may become an invaluable teaching and laboratory tool permitting demonstration and &dquo;experimentation&dquo; with mathematical transformations and statistical techniques.…”

Section: Statistical Proceduresmentioning

confidence: 99%

“…The output R is the resulting correlation matrix. The routine is provided in STATPACK2 (Smillie, 1970: 26). With &dquo;X&dquo; as a vector of observed frequencies, this program produces &dquo;D&dquo; which is the quotient of the largest absolute difference [491] between the expected and the observed cumulative frequencies divided by the number of observations.…”

Section: Statistical Proceduresmentioning

confidence: 99%

“…Lines I through 6 will run on any version of APL. An excellent discussion of APL applications to multiple regression has been provided by Smillie (1976) in a paper delivered to the 1976 APL users' conference. Information on the proceedings can be obtained from ACM, P.O.…”

Section: Appendixmentioning

confidence: 99%

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APL Applications To Social Science Research

Marshall

Wilson²

1978

Sociological Methods & Research

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Although social science research has been greatly facilitated by the advent ofpreprogrammed "statistical packages,"such as SPSS and SAS, these generally require relatively large scale computer resources which are often unavailable to social science researchers at smaller colleges and universities. However, recent advances in computer technology have increased the availability of mini-and microlevel computers while significantly reducing equipment costs. Complementary advances in interactive programming languages have enhanced the research and instructional potentials of these new systems. In this paper, one such interactive language, APL, is discussed as to potential applications in social science research. This relatively easy to learn language is available on many large scale installations, as well as on mini-and microlevel, low cost systems. Specifically, this paper presents generalizable APL programming techniques to guide the social science researcher in the use of this language. Topics covered include: (1) organization of data for input to the computer: (2) selection of subsets of cases for mathematical manipulation;(3) data modification and creation of new variables; and (4) application of analytical statistical procedures. ecent years have seen significant advances in computer applications to social science research. Greater emphasis on large scale data bases and the increased complexity of social science quantitative techniques have led to ever more reliance on

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Section: Statistical Proceduresmentioning

confidence: 99%

Section: Statistical Proceduresmentioning

confidence: 99%

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APL Applications To Social Science Research

Marshall

Wilson²

1978

Sociological Methods & Research

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“…At the time that this paper was being prepared initially the authors were still of the opinion expressed in an earlier paper (Smillie (1974)) that "it would appear that APL may be of little value in the analytical study of continuous random variables since the notation and tools of the integral calculus are required". Some very recent work by the second author appears to indicate that continuous random variables present no difficulty, and he is presently investigating the use of APL in the study of several continuous distributions.…”

Section: Apl As a Notationmentioning

confidence: 99%