A **statistical process control chart** is a type of chart that is used to visualize how a process changes over time and is used to determine whether or not a process remains in a state of control.

The following step-by-step example shows how to create a statistical process control chart in Excel.

**Step 1: Enter the Data**

First, let’s enter the values for our sample data:

**Step 2: Calculate the Mean**

Next, we can use the following formula to calculate the mean value of the dataset:

=AVERAGE($A$2:$A$21)

**Step 3: Calculate the Upper & Lower Limits**

Next, we can use the following formula to calculate the upper and lower limits for the chart:

#Upper limit calculation =$B$2+3*STDEV.S($A$2:$A$21) #Lower limit calculation =$B$2-3*STDEV.S($A$2:$A$21)

**Step 4: Create the Statistical Process Control Chart**

Lastly, we can highlight every value in the cell range **A1:D21**, then click the **Insert** tab along the top ribbon, then click **Insert Line Chart**.

The following statistical process control chart will appear:

Here’s how to interpret the lines in the chart:

**Blue line:**The raw data**Orange line:**The mean value of the data**Grey line:**The upper limit on the process**Yellow line:**The lower limit of the process

Since the blue line (the raw data) never crosses the upper limit or lower limit on the chart, we would say that the process remained in a state of control for the entire duration of the data collection.

In more technical terms, we would say that the data values never exceeded 3 standard deviations above or below the mean value of the dataset.

**Additional Resources**

The following examples explain how to create other common charts in Excel:

How to Plot Multiple Lines in Excel

How to Create an Ogive Graph in Excel

How to Make a Bell Curve in Excel

Very impressive, short simple and precise