Answer:
The best option that describes a sample that enables you to draw accurate inferences from the sample is option C: "The sample is random and representative, but not biased."
A random sample is one in which every member of the population has an equal chance of being selected. This helps to ensure that the sample is not influenced by any outside factors that could skew the results.
A representative sample is one that accurately reflects the characteristics of the population it is drawn from. This ensures that the results obtained from the sample can be generalized to the larger population.
However, if the sample is biased, it may not accurately represent the population. This could lead to inaccurate inferences and conclusions.
Therefore, a random and representative sample that is not biased is the best option for drawing accurate inferences from the sample.
Explanation: