Conduct and Presentation of a Statistical Survey: An Effective Way of increasing the Popularity of a 'Dry' Subject


Book: 
Papers in Statistical Education Presented at ICME-9
Authors: 
Habibullah, S. N.
Editors: 
Starkings, S.
Category: 
Year: 
2000
Publisher: 
ICME-9, Tokyo, Japan
URL: 
see Papers on Statistical Education from ICME-9 item #2834
Abstract: 

Speaking of the teaching and learning of statistics at the undergraduate level, a moderate amount of training in small-scale data-handling seems to be an indispensable part of an introductory program in statistics. (See {1}.) In the Pakistani system of statistical education, however, there is very little emphasis on the conduct of practical projects involving collection and analysis of real data. ( See {2}.) Realizing the importance of such projects, the Department of Statistics at Kinnaird College for Women, Lahore initiated a series of small-scale statistical surveys back in 1985. ( See {3}, {4} and {5}) Each of these surveys has consisted of (a) identification of a topic of interest, (b) formulation of a questionnaire, (c) collection of data from a sample of individuals / a population of interest, (d) a fairly detailed analysis of the collected data, and (e) presentation of the survey findings in front of teachers and students in the form of an educational and entertaining program. Combining information with other items of interest, such a program provides an effective forum for increasing the popularity of a discipline that is generally considered to be a tough and "dry" subject.<br><br>The following section of this paper throws light on various segments of the most recent one of these programs. The one which was held in the college hall on November 12, 1999, and in which a group of students belonging to the FA Second Year Statistics Class (grade 12, ages 17-18) presented salient features of a survey that had been carried out in order to explore the plus points as well as the problems experienced by the female nurses of Lahore (the author acting as compere/moderator for the program).

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education