Which of the following is one way to get consistent, valid data in probability experiments?

• A. Use random sampling to select participants or items
• B. Always choose the same outcome for every trial
• C. Collect data only from sources that support your hypothesis
• D. Ignore outliers in the data without justification

Answer: (A)

Verified step by step guidance

1. Understand that in probability experiments, obtaining consistent and valid data means the data should accurately represent the population or process being studied without bias.
2. Recognize that random sampling is a method where each participant or item has an equal chance of being selected, which helps to avoid bias and ensures the sample is representative of the population.
3. Evaluate the other options: always choosing the same outcome, collecting data only from sources supporting a hypothesis, or ignoring outliers without justification all introduce bias or invalidate the data.
4. Conclude that using random sampling is the correct approach because it promotes fairness and validity in the data collection process.
5. Remember that valid data collection methods are crucial for reliable probability experiments and meaningful statistical conclusions.