The use of general descriptive names, trade names, trademarks, etc. in this publication, even if the former are not especially identified, is not to be taken as a sign that such names, as understood by the Trade Marks and Merchandise Marks Act, may accordingly be used freely by anyone.

No abstract

No abstract

No abstract

data (subject to its being correctly recorded, of course). However, in practice, we would require a prohibitive rise in our sample size even to achieve relatively small increases in accuracy.In conclusion, it is worth pointing out that the results I have quoted above are likely to be a little conservative. In general, the assumption of a continuous uniform distribution for the deviation will give a larger standard deviation than that which actually obtains, for the distribution is more likely to be skew to either the right or the left of the zero deviation point. For this reason, I would suggest that a minimum sample size of 50 rather than 200 is a reasonable rule of thumb. Needingwortk, CumbridgrSince it is the ability of the statistician to apply his subject in practice which makes him a statistician rather than a mathematician, and the ability to cope with real world situations develops from professional experience and a maturity of outlook, the inclusion of project work as part of the statisticscurriculum is seen as important by the Department of Statistics at the University of Pretoria. It is compulsory in the final (third) year of the undergraduate study. Definition and Organization of Project WorkProject work comprises a combination of statistical theory and practice. it involves the planning, execution and presentation of a practical statistical investigation under the guidance of a tutor but performed independently by each student. Studies of a theoretical nature or which would be based on artificially (e.g. computer) generated data are not acceptable.Students are randomly assigned to tutors, in the ratio of one tutor for approximately five students. The exercise proceeds through the following stages: Choice of the topicStudents are expected to select their own topics for the investigation according to their personal interests. This provides a more stimulating approach and an increased motivation for the exercise. Indirectly students are thereby also forced to establish relationships between natural phenomena and statistical models. The allocation of topics from a reserve list is discouraged. Projects related to hobbies or to contentious campus matters seem to be very popular. Students are also expected to work individually rather than in groups. 90