What challenges might you face with random sampling and how can you overcome them?
When delving into the world of statistics, random sampling stands as a cornerstone for collecting data. However, it's not without its challenges. You may encounter issues such as selection bias, non-response, and population misrepresentation. Understanding these potential pitfalls and knowing how to navigate them is crucial for ensuring the reliability and validity of your statistical findings. This article will guide you through common obstacles associated with random sampling and offer practical solutions to overcome them.
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Tomas JancovicData @ Trustpilot (3x Microsoft-certified Data Analyst, 2x Meta-certified Professional Data Scientist)
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Nqobile NgomaPhD Candidate| Epidemiologist| Clinical Research Fellow| Public Health Scientists|GradStar Top100 2024| Golden Key…
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Yogita Kolekar Thoke???Global Biostatistician | "We Do Everything With Heart" to Improve and Extend Lives| Clinical Trials | Analyzing Health…