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Spring semester - BA - Sports - Year 2 Calendar view

Sport Analytics (20-21)


Class
Eugenio Clavijo
Enrolment for this class is currently closed.

Applies data analysis techniques to analyse components of the sports industry

Level 4, Year 2

Credits: 10 ECTS

Module leader: Eugenio Clavijo

Google meet link for classes: http://meet.google.com/jry-dnqj-cwq

Office hour: Monday 2:15pm to 3:00pm

Live tutorial session for online students: Monday 4:30pm to 5:30pm
Link: meet.google.com/kzs-rhba-hrd

Assessment methods

  • A1 - In-class Exercise (1) Descriptive Statistics (10%)
    • A2 - In-class Exercise (2) Probability (10%)
    • A3 - In-class Exercise (3) Distributions and hypothesis testing (10%)
      • A4 - Final Project (70%)

      Learning Outcome

      At the end of the module you will be able to:

      LO1. Explore the application and importance of Statistics in multidisciplinary areas (Summative Assessment 1, 2, 3 & 4)

      LO2. Demonstrate basic understanding of the main concepts in statistics. (Summative Assessment 1, 2, 3 & 4)

      LO3. Demonstrate the ability to identify the appropriate statistical test given different research questions and designs. (Summative Assessment 3 & 4)

      For more detail, please download the attached MSG: MSG_2020-21_BA_Sport_Analytics.pdf

       

      Students will need to use this cover page as the first page of their coursework submission: 2020_2021_Assignment_Final_Cover_Sheet_MIUC

      Here is the class outline:

      Week 1 - Introduction to Statistics

      4 sections
      Week 1 - Introduction to Statistics
      Sample analysis exercise
      2 Homeworks
      Sport

      Week 2 - Basic elements in research, populations, and sampling

      4 sections
      Week 2 - Basic elements in research, populations, and sampling
      Basic Elements in Research, Population and Sampling
      Extra reading: Caldwell, S - Statistics Unplugged - Chapter 02
      psycology tests

      Week 3 - Measures of Central Tendency and measures of Variability

      4 sections
      Week 3 - Measures of Central Tendency and measures of Variability.
      Measures of Central Tendency
      Extra reading: Caldwell, S - Statistics Unplugged - Chapter 02
      Exercise, Medical Cost: Smoking and bmi vs Age.

      Week 4 - Frequency Distribution – Summarising Data

      6 sections
      Week 4 - Frequency Distribution – Summarising Data
      Frequency distribution
      Extra reading: Caldwell, S - Statistics Unplugged - Chapter 02
      Exercise: HR Survey
      Extra Exercise: Calculating measures of central tendency and variability in R
      A1 - In-class Exercise (1) Descriptive Statistics (10%)

      Week 5 - Graphical representation of data

      3 sections
      Week 5 - Graphical representation of data
      Graphical representation of data
      Extra reading: Coolican - Chapter 14

      Week 6 - Foundations of probabilities – Part I

      4 sections
      Week 6 - Foundations of probabilities – Part I
      Pascal and Fermat
      Foundations of probabilities
      Extra reading: OpenIntro Statistics - Chapter 2

      Week 7 - Combinatorial statistics

      5 sections
      Week 7 - Combinatorial statistics
      Factorials, Permutations and Combinations
      Extra reading: OpenIntro Statistics - Chapter 2
      Exercise
      Exercise in googlesheet

      Week 8 - Foundations of probabilities – Part II

      6 sections
      Week 8 - Foundations of probabilities – Part II
      Foundations of probabilities II
      Extra reading: OpenIntro Statistics - Chapter 2
      Extra exercise: Calculating measures of central tendency and variability and Creating Graphs in R
      Extra: COVID conditional probability
      A2 - In-class Exercise (2) Probability (10%)

      Week 9 - The Normal Distribution

      5 sections
      Week 9 - The Normal Distribution
      The normal distribution
      Standard normal table
      Extra reading: Table and Statistics Unplugged - Chapters 3 and 4
      Extra exercise: BlackFriday dataset

      Week 10 - Mean hypothesis testing

      10 sections
      Week 10 - Mean hypothesis testing
      The normal distribution
      Extra reading: Statistics Unplugged - Chapters 3 and 4
      Exercise: Suicide dataset
      Questions to discuss in class
      Class voting A3 test 3/12/2020
      A3 - In-class Exercise (3) Distributions and hypothesis testing (10%)
      Optional Quiz
      Extra material and exercise: sum up
      Questions students woud like to test

      Week 11 - Analysis of variance: basic

      9 sections
      Week 11 - Analysis of variance: basic
      Students Tests
      Mean hypothesis testing
      Extra reading: Coolican - Chapter 16
      Extra exercise: Measures, Graphs and Hypothesis testing In R statistics
      Equestrian dataset
      Gaith analysis
      Oleh analysis
      team analisis

      Week 12 - More advanced statistical tests

      5 sections
      Week 12 - More advanced statistical tests
      sum up
      Exercise: z-test means difference in 2 samples
      Extra exercise: high
      Extra: ANOVA and Chi Square

      Week 13 - Linear bivariate Correlations

      4 sections
      Week 13 - Linear bivariate Correlations
      Extra exercise: Finding correlations and testing hypotheses
      Extra exercise: Prediction model validation
      KNIME

      Week 14 - Writing reports in statistics

      6 sections
      Week 14 - Writing reports in statistics
      Hypotheses testing
      Questions for a scientific report
      How to do not write a scientific report
      example A4
      A4 - Final project (70%)