The primary objective of this research is to fit mathematical models to the forward cumulative
distribution of age-specific participation rates (ASPRs) for the male, female, and mixed-sex populations of
Bangladesh. The 2011 Statistical Year Book of Bangladesh is the source for this data. In order to fit these
mathematical models, the STATISTICA program makes use of the Quasi Newton Method. In addition, the
model's accuracy and validity are checked using t-tests, F-tests, and cross validity prediction power (CVPP).
The results show that ASPRs use a cubic polynomial model for their forward cumulative distribution and a
third-degree polynomial model for the population as a whole, regardless of gender. The t-test, the F-test, and
the cross validity prediction power all show that these models are well-fit. More than 95%, 84%, 96%, 99%,
and 99% of these models are stable, respectively