In Microsoft Excel, plotting the mean along with standard deviation (SD) and standard error (SE) helps visualize data variability and reliability. To plot these values, follow these steps:

First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.

To plot these values, use a bar chart or scatter plot. Add error bars to represent SD or SE. Select your data series, then go to the "Chart Tools" menu, click "Add Chart Element," and select "Error Bars." You can customize these error bars by specifying fixed values, using the calculated SD or SE to indicate variability.

Error bars are useful for visualizing the reliability of your mean values—larger error bars imply more variability, while smaller bars suggest consistent data. These visual tools are essential for data presentation, making it easier to understand trends and variability at a glance in scientific, engineering, or business contexts.