Please enable JavaScript.

Coggle requires JavaScript to display documents.

Data insight (1) - Coggle Diagram

- - - - Largest score - Smallest score
    - - = 3 ranges (Lower quartile, 2nd Q, Upper Q)
      - Range division -> 50% + 2x 25%)
  - - - square root of the variance = the standard deviation
  - - - Bimodial distribution
      - Multimodial distribution
      - Valid for nominal/ordinal/interval/ratio var.
    - - Valid for nominal/interval/ratio
      - = 2nd quartile (middle range)
    - - Valid only for inteval/ratio
- - - - Data collection w/info
        
        Efficient data collection but miss contextual detail
- - - - Data collected w/questionnaire
- - - - Find explanation/answer & use of secondary data to back up and refine the RQ
        
        Ex: Why many participants in reality programs have an extreme personality ? (For research)
        
        Ex: Pedigree has to choose between 4 ads for a campaign: which one is the right ad? (For business)
        
        Secondary Data - Ex: data about dog owners + data about what constitutes a "good" add
    - - Theory:
    - - Generate a prediction from a theory & prove it
    - - Measure variables w/ IV (predictor var) & ID (outcome var)
    - - Describe data & fit statistical models to the data
- - - - Nominal (2 or more categories: men/women; yes/no; green, yellow, red, blue; pregnant/not pregnant)
      - Ordinal (logical order of the vars: ranking of brands according to consumer preferences (Snickers versus Mars)
    - - Interval variable (evaluation of the product on a scale from 1 to 20)
      - Ratio variable (the scale must have a true and meaningful zero point: Zero sec = no time; The weight of 2 kilograms is twice the weight of 1 kilogram; the difference between 300s and 350s is the same as the difference between 210s and 260s)