Abstract The article focuses on a confidence limits table which is both concise and unique and which allows the instructor and student to compute quickly confidence limits for the entire population based upon the results of an attribute sample. The use of this table eliminates the arithmetic which is usually associated with statistical sampling, thus permitting concentration on the utilization of statistical sampling concepts and procedures. Long division is the only computation required. The table also allows the instructor to demonstrate various potential valuable statistical sampling applications without becoming burdened with or bogged down by arithmetical manipulations. This table may be used for either finite or infinite populations and for both large and small random samples. Basically, the table's value in the instructional process is two-fold: the elimination of computations and the concentration on the conceptual rather than the mechanical process; and the elimination of the necessity of adjusting problem data in order to fit commonly used cumulative probability distribution tables such as the Binomial Tables.
Tummins et al. (Fri,) studied this question.