2023
Statistics Applied to Physical Activity
Name: Statistics Applied to Physical Activity
Code: MAT00917L
6 ECTS
Duration: 15 weeks/156 hours
Scientific Area:
Mathematics
Teaching languages: Portuguese
Languages of tutoring support: Portuguese, English
Regime de Frequência: Presencial
Sustainable Development Goals
Learning Goals
The propose of this course is that students obtain knowledge of Descriptive Statistics and Statistical Inference suited to analyze data related to physical activity and sports .
It is also intended to sensitize students to the advantage of using these materials in research. The student should be able to a) describe the samples from the use of instruments seized under the descriptive statistics, b) solve problems using probability theory and theoretical probability distributions, c) using the Statistical Inference and parameter estimation for testing hypotheses, d) solve simple linear regression and finally e) carry out statistical analysis of results obtained with the use of tools (SPSS and Excel).
It is also intended to sensitize students to the advantage of using these materials in research. The student should be able to a) describe the samples from the use of instruments seized under the descriptive statistics, b) solve problems using probability theory and theoretical probability distributions, c) using the Statistical Inference and parameter estimation for testing hypotheses, d) solve simple linear regression and finally e) carry out statistical analysis of results obtained with the use of tools (SPSS and Excel).
Contents
The main topics to be addressed in the Course are:
Descriptive Statistics
Introduction to Probability
Theoretical Probability Distributions, Sampling and Sampling Distributions Probability
Estimation: Point and Interval
Hypothesis Testing.
Simple analysis of variance (one factor).
Nonparametric test.
Simple Linear Regression.
These contents are broken down in other more specific, which can be found on the CU program
Descriptive Statistics
Introduction to Probability
Theoretical Probability Distributions, Sampling and Sampling Distributions Probability
Estimation: Point and Interval
Hypothesis Testing.
Simple analysis of variance (one factor).
Nonparametric test.
Simple Linear Regression.
These contents are broken down in other more specific, which can be found on the CU program
Teaching Methods
The lectures will be taught using projections of support material, supplemented by exposure of the material within. At the end of each module of the program, will also be solved exercises illustration of theoretical concepts. In laboratory practice, students must solve exercises.
1. Continuous assessment: System frequency and presentation of short reports on classroom instruction: Students are also assessed from the completion of two frequencies. The minimum score obtained at each frequency shall not be less than 8 values and be approved if the average score of the two frequencies is at least 9.5. This system may also be complemented with the evaluation of these reports.
2. Examination system: Students will be assessed from the completion of an examination in which the grade obtained shall not be less than 9.5.
1. Continuous assessment: System frequency and presentation of short reports on classroom instruction: Students are also assessed from the completion of two frequencies. The minimum score obtained at each frequency shall not be less than 8 values and be approved if the average score of the two frequencies is at least 9.5. This system may also be complemented with the evaluation of these reports.
2. Examination system: Students will be assessed from the completion of an examination in which the grade obtained shall not be less than 9.5.
Assessment
The student must choose the evaluation scheme (Continuous or Exam). In continuous evaluation the student needs to attend at least 70% of the classes by the date of each evaluation, and perform the two frequencies with grades not less than 7 values. Obtaining a mark less than 7 values in the first frequency implies the non-admissibility of the realization of the 2nd frequency, automatically going for Final Exam. The final score, for those who obtain at least 7 values, in each of the frequencies will be obtained according to the following weighting: NF=0.45*F1+0.55*F2. Where F1 = mark in the 1st frequency (45%) and F2 = mark in the 2nd frequency (55%). If NF is greater than 9.5, still with a mark lower than 7 values in the 2nd frequency, classification will be 9 values. In that case, the student takes Examination of the Appeal time. In the Exam Assessment the student chooses to take an exam (Normal Season and/or Appeal).
Teaching Staff
- Russell Gerardo Alpizar Jara [responsible]
