When researching a phenomenon or a topic, you want a more in-depth understanding. Selecting the type of study based on the problem is vital. Once you choose a study, how you collect data will be significant to reaching an understanding and a possible solution to a problem. Share a phenomenon from the real world or a problem at work with the class and instructor. What statistical study (observational or experimentation study) would best collect data for this real-world phenomenon or problem at work, and why? How can you prevent bias in sampling and incorporate a simple random sample in your data collection