MATH

• Population


  An entire collection of people, animals, or events that fit the purpose of your study.
• Sample


  Portion of your population
• Probability Sampling


  Everyone has an equal chance of being chosen to be part of the sample.
• Random Sampling


  Members are selected through lottery
• Systematic Sampling 


  Members are written in a list systematically with corresponding numbers.
• Stratified Sampling 


  Members of the population is grouped, you can choose equal number of respondents in each group
• Clustered Sampling 


  Members of your population is grouped, you can choose all respondents in selected groups.
• Non-Probability Sampling 


  Everyone does not have an equal chance of being chosen.
• Convinience Sampling


  Samples are selected because of their immediate availability.
• Purposive Sampling 


  Samples are determined based on the purpose of the study.
• Quota Sampling


  Samples are selected to achieve a needed number of participants in the study.
• Snowball Sampling


  Samples are selected by the recommendation of another member of the sample.
• Direct Method 


  You get the information firsthand
• Indirect Method 


  Includes ways in which you can obtain the needed data without your presence.
• Qualitative Data


  Categories which show classification or attributes
• Quantitative Data 


  Numbers of values that represents counts or measures.
• Nominal


  Data that are categorical
• Ordinal


  Data that are in ordered or ranked category
• Interval


  Data that have no real zero
• Ratio


  Data that have real zero