On the Attributes tab, you can edit the line type, line color, and line size of the selected interval bars.
Edit the interval type
On the Options tab, under Type of Interval, select one of the following:
Standard error: Represents one standard error (or a multiple of the standard error) from the mean. The standard error of the mean (SE of the mean) estimates the variability between sample means that you would obtain if you took multiple samples from the same population. In Multiple, enter a positive number to be used as the multiplier for standard errors.
In Level, enter the level of confidence for the confidence interval. Usually, a confidence level of 95% works well. A 95% confidence level indicates that, if you take 100 random samples from the population, the confidence intervals for approximately 95 of the samples will contain the population parameter. For more information, go to What is a confidence level?
Select Bonferroni to use the Bonferroni method for controlling the simultaneous confidence level for an entire set of confidence intervals. If you don't select Bonferroni, confidence levels apply to the individual intervals. For more information, go to What is the Bonferroni method?.
Select the location of the bars
On the Options tab, from Side, select one of the following.
two-sided: bars are drawn above and below the mean.
upper one-sided: bars are above the mean.
lower one-sided: bars are below the mean.
For confidence intervals (default), the one-sided bars are shorter than the same side of the two-sided bars because Minitab uses a one-sided test. For standard error bars, the distance that error bars extend above or below the mean remains the same regardless of the selected side.
Pool error across groups
Use the pooled degrees of freedom to calculate the critical value from the t-distribution for confidence interval bars, or a pooled standard error instead of calculating the error for each subgroup for standard error bars.