Ignored Data Analysis
Well‐studied methods for analyzing data are used widely among the experimental sciences. Using these methods reduces the risk of poor data analysis and interpretation.
Example: You claim that the mean response time does not significantly increase. Your evaluation took a sample of 50 measurements and computed the mean. However, you ignored any inferential statistics, such as confidence intervals, that would help to establish the statistical significance of your result.
Real-World Examples
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