Error bars can be calculated using various statistical methods, depending on the type of data and the desired level of confidence. Common methods include:
Standard Deviation: This method estimates the variability within a dataset by calculating the standard deviation of the measurements. Standard Error: It provides an estimate of the standard deviation of the sample mean, offering a measure of the precision of the sample mean. Confidence Intervals: These intervals provide a range within which the true value is expected to lie with a certain level of confidence, often 95%.
