Sampling and Data General Info

Title

Context:

• Source:
• Relation:

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Insight:

• DataSet of values of qualitative or quantitative variables
• Lowest level of abstraction, from which information and knowledge are derived

• data

  • set of values of qualitative or quantitative variables
  • lowest level of abstraction
  • info and knowledge are derived from this
  • from sample data → calculate statistic

• statistics

  • a number represents property of the sample
  • an estimate of population parameter
  • what you can obtained from the sample that can represent the parameter / goal of measuring

• parameter

  • numerical characteristic of the whole population, estimated by a statistic
  • goal of measuring / surveying in this case

• Attribute and Variable - “measurable?”

  • Attribute: characteristic of an object that cannot be measured
    • Example: sensibility
  • Variable: something that may or does vary and can be measured
    • Example: height

• Discrete and Continuous Variables - “precisely countable?”

  • Discrete: variable that can only take a countable number of values
    • Example: number of employees
  • Continuous: variable that may take on any value
    • Example: height of people