Appunti VERIFICATO

introductory statistics appunti

Università degli studi di Bologna genomics 2021
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  • Introduction to Statistics:
    • Defined as "the art of learning from data," crucial for scientific understanding and modeling real-world phenomena (economics, biology, industry).
    • Emphasizes making informed decisions under uncertainty, especially when problems lack precise solutions.
  • Understanding Randomness:
    • Deterministic Phenomena: Follow mathematical laws with negligible error (e.g., eclipses), making them predictable.
    • Random Phenomena: Cannot be predicted without uncertainty (e.g., coin tosses).
    • Deterministic Chaos: A deterministic system that behaves like a random one due to extreme sensitivity to initial conditions (the "butterfly effect").
      • Tiny initial observation errors are exponentially amplified, leading to unpredictability.
      • While chaotic systems are deterministic, distinguishing them from truly random phenomena is often impossible.
    • Spurious Correlations: Correlations that occur purely by chance.
  • Steps to Learn from Data: A five-step process for effective data analysis:
    • Collect data.
    • Describe/summarize data.
    • Analyze data.
    • Perform diagnostics to check assumptions.
    • Interpret results and draw conclusions.
    This is not a rigid algorithm; each step requires specific knowledge and expertise.
  • Descriptive Statistics Fundamentals:
    • Statistical Unit: The individual subject or object from which information is gathered (e.g., a person, firm, country).
    • Variable: A characteristic or phenomenon under investigation, denoted by capital letters (e.g., X, Y, X1). Variables take different values across units.
    • Observed Sample (Data Set): The actual observed values (realizations) of a variable, typically denoted by lowercase letters with subscripts (e.g., x1, x2, x3... or y1, y2, y3...).
    • Sample Size (n): The total number of observations in a sample.

Altri appunti di INTRODUCTORY STATISTICS [cod. 85290]

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