ANALISI DELLA PERFOMANCE SPORTIVA 1

Module BIOSTATISTICA APPLICATA ALLA CHINESIOLOGIA

Upon completion of the course, students will have acquired a solid understanding of biostatistics as an essential tool for research in Kinesiology, recognizing its crucial role in validating scientific evidence related to human movement.

Specifically, students will be able to:

• Classify and manage different types of variables (nominal, ordinal, interval/ratio) typical of sports and exercise sciences.

• Independently use JASP software for database organization, data importation, and dataset cleaning.

• Perform and interpret descriptive statistical analyses, communicating results through appropriate numerical summaries (means, standard deviations) and graphical visualizations (boxplots, histograms).

• Apply and differentiate between inferential tests, correctly selecting among one-sample, independent samples, and paired samples t-tests, based on the adopted experimental design.

• Critically interpret statistical results (p-values, effect sizes, statistical value), transforming numerical data into physiological and methodological insights relevant to professional practice.

To successfully attend the Applied Biostatistics course, the following preliminary skills and knowledge are required:

• Basic Mathematical and Logical Skills: Knowledge of fundamental algebraic operations, concepts of proportion and percentage, and basic properties of powers and roots (necessary for understanding variance and standard deviation formulas).

• Fundamentals of Information Technology: Proficiency in file management within Windows or macOS environments, with specific reference to basic use of spreadsheets (Microsoft Excel or Google Sheets) for organizing data into rows and columns.

• Kinesiological and Physiological Foundations: Understanding of key parameters of human movement and exercise physiology (e.g., VO2 Max, heart rate, anthropometric indices), which is essential for contextualizing statistical results and critically interpreting the analyzed variables.

• Language Skills: Basic knowledge of the English language, useful for interacting with the JASP software interface and for reading standardized academic charts and outputs.