What is sequential testing in statistics?
An example of an AI chatbot conversation about sequential testing in statistics.
What is sequential testing in statistics?
Sequential testing is a statistical method where data is evaluated as it is collected, allowing for early decision-making.
Can you give me an example of how sequential testing is used?
Sure! In clinical trials, researchers might analyze data after each participant to determine if a treatment is effective.
What are the advantages of using sequential testing?
The main advantages include reduced sample size, faster results, and the ability to stop the trial early if results are clear.
Are there any disadvantages to sequential testing?
Yes, disadvantages include the potential for increased complexity in analysis and the risk of making premature decisions.
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