Margin of error vs. confidence intervals for data-driven decisions

Usability testing relies on understanding statistical concepts like margin of error, confidence levels, and confidence intervals to interpret survey results accurately and avoid costly mistakes. Margin of error indicates the potential inaccuracy in data due to using a sample rather than surveying an entire population, while confidence levels reflect how certain you are that your results represent the true value of the larger group. Confidence intervals provide a range within which the true value is expected to fall, calculated using the margin of error. A smaller margin of error results from larger sample sizes and lower data variability, which increases the precision of the findings. Understanding these concepts helps in making informed decisions and improves the reliability of usability testing, ensuring results are reported transparently and effectively.