Random sampling

• What does Random sampling involve?


  The selection of samples without any specific pattern or order.
• How does Random sampling eliminate a bias?


  by ensuring every element in the population has an equal chance of being chosen.
• Random sampling provides a more representative sample of the entire population compared to systematic sampling.
• What risk does random sampling reduce?

  the risk of underrepresentation or overrepresentation of certain characteristics in the study area
• How does random sampling avoid a bias?


  by not following a specific interval pattern
• Why is the flexibility of sample placement important in random sampling?


  It ensures a more comprehensive coverage of the study area.
• There's a chance that important characteristics or patterns could be overlooked due to the purely random nature of sample selection when carrying out random sampling.
• How can a lack of control within random sampling have an impact?


  It can impact the ability to capture variations in environmental factors across the study area.
• Random sampling is entirely random so it could miss out on larger sections of the study area