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

Usability testing relies heavily on statistical concepts such as margin of error and confidence intervals to ensure the reliability of data from surveyed samples. When surveying a population, such as Amsterdam residents leasing vehicles, obtaining exact numbers is impractical; instead, a smaller, randomly selected group serves as a representative sample. It's essential to grasp that results are always estimates, characterized by some level of uncertainty, governed by the margin of error. When conducting usability tests, recognizing confidence levels can aid in understanding the degree of certainty in survey results.
The margin of error expresses the degree of uncertainty in your survey results, an essential understanding for effective usability testing and product decision making.
Understanding key concepts like confidence levels and confidence intervals can help you make data-driven decisions that accurately reflect your target audience’s needs.
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