![]() ![]() It uses the percentage specified in the “Percentage” box to calculate the error amount for each data as a percentage of the value of that particular data point. The below screenshot shows that the straight line is drawn from the minimum of the maximum value, i.e., “Red maple” overlaps with the outermost value of the species “Black maple.” It signifies that the data for one group is not different from the other. ![]() All the data points in the series display the amount of error in the same height for Y error bars and the same width for X error bars. In the below screenshot, the error bars with standard errors are given. ![]() That means that the smaller the sample size, the greater the standard errors. ![]() The standard error is inversely proportional to the size of the sample. The magnitude of SE helps give an index of the precision of the estimate of the parameter. “Error Bars with Standard Error.” “Standard Error,” i.e., SE, is the standard deviation of a sampling distribution.There are various “Error Bars” options available.For example, the following screenshot shows the same. We can find the “Error Bars” option under the “Layout” tab under the “Analysis” group.Next, we will get the following line graph by clicking the line graph.First, we must select the data and the line graph from the “Insert” tab.Below are the steps to add error bars in Excel: ![]()
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