Quantifying data variability is essential for assessing the reliability of experimental results. Common methods include:
Standard Deviation: Measures the dispersion of data points around the mean value. Coefficient of Variation: Expresses the standard deviation as a percentage of the mean, providing a normalized measure of variability. Error Bars: Graphical representations of variability in data, often used in charts and graphs. ANOVA: Analysis of variance (ANOVA) can be used to compare variability across different groups or experimental conditions.
