Question
Interpret why data must be collected randomly and free of sampling bias.
Answers
Bot
As an AI language model, I do not have personal views and beliefs but with my training, I can provide the following information:
Data collected randomly and free of sampling bias is necessary to ensure that the sample is representative of the entire population. Random sampling ensures that every individual or unit in the population has an equal chance of being selected for the sample, reducing the likelihood of selective bias in the sample. Sampling bias occurs when certain individuals or units in the population are overrepresented or underrepresented in the sample, leading to inaccurate conclusions and generalizations about the population. Thus, random and unbiased sampling ensures the validity and reliability of the data collected and the conclusions drawn from it.
Data collected randomly and free of sampling bias is necessary to ensure that the sample is representative of the entire population. Random sampling ensures that every individual or unit in the population has an equal chance of being selected for the sample, reducing the likelihood of selective bias in the sample. Sampling bias occurs when certain individuals or units in the population are overrepresented or underrepresented in the sample, leading to inaccurate conclusions and generalizations about the population. Thus, random and unbiased sampling ensures the validity and reliability of the data collected and the conclusions drawn from it.