Sampling and Statistics

Sampling is essential for making reliable claims about large populations, even when only a small subset is surveyed. Random sampling is the gold standard, but practical challenges often prevent true randomness in data collection. Factors like accessibility and willingness to participate can skew results, highlighting the complexities of accurately representing a population.