Students usually develop an intuitive feel for the interpretation of experimental data relatively slowly through analysing different data sets. The aim of this paper is to encourage educators to develop their student’s expertise more rapidly by using visual representations of statistical concepts and by having the student visually examine many sets of simulated data. The jump height achieved in a countermovement jump is used to illustrate this approach. Some students report that viewing many sets of simulated data in quick succession turbo-charged their expertise as a researcher. It is also shown that calculating the mean of 5–8 jump trials is a good compromise between reducing the uncertainty in the mean and the time spent testing.
"VISUALISING THE EFFECT OF SAMPLE SIZE ON DESCRIPTIVE STATISTICS: WITH APPLICATION TO A COUNTERMOVEMENT JUMP TEST,"
ISBS Proceedings Archive: Vol. 38
, Article 49.
Available at: https://commons.nmu.edu/isbs/vol38/iss1/49