Using a small sample size can lead to several issues:
1. Inaccurate Results: Small samples may not represent the entire population accurately, leading to skewed results. 2. Inability to Generalize: Results from a small sample may not be generalizable to the larger audience, making it difficult to draw actionable insights. 3. Higher Margin of Error: A smaller sample size increases the margin of error, reducing the reliability of the results.