Educational guide 2023_24
Facultade de Ciencias da Educación e do Deporte
Grado en Ciencias de la Actividad Física y del Deporte
 Subjects
  Statistics: Research methodology and statistics in physical activity and sport
   Contents
Topic Sub-topic
Part 1. Introduction to the research methodology in Physical Activity and Sport Sciences. 1.1 The scientific method of resolution of problems.
1.2 Parts of a paper and a tesis.
1.3 Types of research: analytical, descriptive, experimental, qualitative.
1.4 Reliability and validity.
Part 2. Data analysis and applied statistics. Lesson 2: An introduction to Statistics. One
dimensional descriptive statistics.
2.1 Statistics and scientific research.
2.2 Basic concepts: population, sample, variables.
2.3 Tabulated and graphical description.
2.4 Measures of central tendency, spread, skewness, and kurtosis.

Lesson 3. Two dimensional descriptive statistics.
3.1 Qualitative data analysis: contingency tables, graphical description
and dependency measures.
3.2 Box-plot diagram of a variable recorded by groups. Comparison of
mean and variance.
3.3 Covariance and linear correlation.
3.4 Simple linear regression model.

Lesson 4. Introduction to Statistical Inference and
Probability models.
4.1. Introduction to Statistical Inference.
4.2. Probability: basic concepts.
4.3. Random variable.
4.4. The Normal distribution. Applications.
4.5. Point estimation. The sample mean.
4.6. Calculation of the sample size.
4.7. Confidence intervals for mean and proportion

Lesson 5. Testing of Hypothesis.
5.1 Definition and classical methodology of testing: types of hypothesis,
associated errors, significance level, critical region.
5.2 p-value.
5.3 Two sample t-test
5.4 chi-squared test of independence.
5.5 Shapiro-Wilks test for normality.
5.6 Pearson correlation test.
Part 3. Introduction to informatics applied to statistics. Lesson 6: Analysis of real data with Calc and R Commander.
6.1 One-dimensional descriptive analysis.
6.2 Two-dimensional descriptive analysis.
6.3 Hypothesis Testing and Confidence Intervals.


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