The question in the image is asking about random sampling and why it's important. Among the provided multiple-choice options, the correct one related to random sampling is:

• "A method where every member of the population has an equal chance of being selected for the sample. It minimizes bias and increases the likelihood that the sample is representative of the population."

Random sampling ensures that the data collected is representative of the entire population and reduces bias, which is critical for making valid statistical inferences.

Would you like me to go into more detail on why random sampling is important or discuss any other aspects of the question? Let me know if you have any further questions!

Here are some related questions for further learning:

1. What is the difference between a population and a sample in statistics?
2. Why is minimizing bias crucial in statistical sampling?
3. How can random sampling lead to more reliable conclusions?
4. What are the different types of sampling techniques besides random sampling?
5. How do you determine an appropriate sample size for a study?

Tip: Always ensure that your sample size is large enough to capture the diversity of the population while keeping the process manageable!