Probability and statistics​

Probability and statistics​

1. population

   • finite
     • you can have the number exact
   • Infinite
     • the number of elements are ilimited

2. samble

3. Data

   • Qualitative
     • Qualitative data are data that describe non-numeric qualities or characteristics of a phenomenon. These data are used for description and categorization, rather than measurement or counting. Some examples of qualitative data include eye color, car brand, a person's opinion on a topic, the texture of a material, among others. Qualitative data is often collected through methods such as observation, interviews, open-ended surveys, or content analysis. These data can be transformed into quantitative data through coding techniques, to analyze them and draw conclusions more easily.
   • Discrete
     • example: number of...person, students, cars etc
   • Continuos
     • The concept of continuous data in statistics refers to data that can take any value within a given range. This type of data can be measured and expressed with a high level of precision, including fractions or decimals.
   • Quantitative

4. Census

5. Parameter

   • A parameter in statistics is a number that summarizes an important characteristic of an entire population.

6. Statistic

   • A statistic is a number that describes some characteristic or property of a smaller group of data

7. Sampling

   • Probabilistic
     • simple random
     • systematic
     • stratified
     • conglonerated
   • Non-Probabilistic
     • Convenience Sampling
       • Type of variable: qualitative or quantitative
       • Sample size: Variable, not determined by statistical criteria.
     • Judgmental or Purposive Sampling
       • Type of variable: qualitative or quantitative.
       • Sample size: Determined by the quotas set for each subgroup
     • Quota Sampling
       • Type of variable: qualitative or quantitative
       • Sample size: Determined by the judgment of the researcher.

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