Question

Suppose leaves tend to be smaller near the tip of a twig and bigger further along  the twig.  Suggest a data collection strategy to avoid bias in your sample selection?

Answer 1

for avoiding selection biases include:

• Using random methods when selecting subgroups from populations to avoid sampling bias is simple random sampling, in which samples are chosen strictly by chance. This provides equal odds for every member of the population to be chosen as a participant in the study at hand.

  The great thing about simple random sampling is that no effort is required by your potential participants.

• Ensuring that the subgroups selected are equivalent to the population at large in terms of their key characteristics.

  Stratified random sampling allows researchers to examine the population that they will be working on their study, and comprise an accurately representative sample accordingly. Stratified random sampling enables the researchers to become aware of the information prior to building their sample, which allows them to avoid sampling bias.