The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul

Sprint event is one of the well-known track and field event in the world. Olympic Games are held every four years with The Summer and Winter Games alternating but two years separated while four years for Asian Games. Sprint athletes from both games aiming to be crowned as the world's best. But...

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Main Authors: Hussin, Masrurah, Badrul, Mohammed Arief
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/39704/1/39704.pdf
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spelling my-uitm-ir.397042020-12-27T15:37:37Z The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul 2019-07 Hussin, Masrurah Badrul, Mohammed Arief Mappings (Mathematics) Problems, exercises, etc. Difference equations. Functional equations. Delay differential equations. Integral equations Sprint event is one of the well-known track and field event in the world. Olympic Games are held every four years with The Summer and Winter Games alternating but two years separated while four years for Asian Games. Sprint athletes from both games aiming to be crowned as the world's best. But there is a small chance for an athlete from specific event to break the current Asian and world record. Therefore, the purpose of this project is to determine the rate of occurrence of world record to be broken. In this project, the method that will be use is cumulative distribution function which is one of the theory for probability distribution and statistics. First of all, construction of cumulative distribution function is essential to model the probability for an athlete to race within a certain range of times. After the parameter values for the model been estimated, the technique from probability theory will be used to determine the chance for an athlete to be able to break the current Asian and world record. The present study, the result will obtain the probability of a new record for Olympic and Asian sprinter in each specific event and the frequency of Asian or world record will be broken. Hence, the performance of Olympic and Asian athletes in sprinting can be compared. 2019-07 Thesis https://ir.uitm.edu.my/id/eprint/39704/ https://ir.uitm.edu.my/id/eprint/39704/1/39704.pdf text en public degree Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences Ramli, Abdul Rahim
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Ramli, Abdul Rahim
topic Mappings (Mathematics)
Mappings (Mathematics)
Mappings (Mathematics)
spellingShingle Mappings (Mathematics)
Mappings (Mathematics)
Mappings (Mathematics)
Hussin, Masrurah
Badrul, Mohammed Arief
The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul
description Sprint event is one of the well-known track and field event in the world. Olympic Games are held every four years with The Summer and Winter Games alternating but two years separated while four years for Asian Games. Sprint athletes from both games aiming to be crowned as the world's best. But there is a small chance for an athlete from specific event to break the current Asian and world record. Therefore, the purpose of this project is to determine the rate of occurrence of world record to be broken. In this project, the method that will be use is cumulative distribution function which is one of the theory for probability distribution and statistics. First of all, construction of cumulative distribution function is essential to model the probability for an athlete to race within a certain range of times. After the parameter values for the model been estimated, the technique from probability theory will be used to determine the chance for an athlete to be able to break the current Asian and world record. The present study, the result will obtain the probability of a new record for Olympic and Asian sprinter in each specific event and the frequency of Asian or world record will be broken. Hence, the performance of Olympic and Asian athletes in sprinting can be compared.
format Thesis
qualification_level Bachelor degree
author Hussin, Masrurah
Badrul, Mohammed Arief
author_facet Hussin, Masrurah
Badrul, Mohammed Arief
author_sort Hussin, Masrurah
title The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul
title_short The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul
title_full The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul
title_fullStr The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul
title_full_unstemmed The prediction of athletes performance in sprint event using cumulative distribution function / Masrurah Hussin & Mohammed Arief Badrul
title_sort prediction of athletes performance in sprint event using cumulative distribution function / masrurah hussin & mohammed arief badrul
granting_institution Universiti Teknologi MARA
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/39704/1/39704.pdf
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