![]() So, we don’t need the scaling of 0-74 in the vertical axis. If you look at our dataset carefully, you may notice that all of our data is above 74.Besides it, we also check the Data Labels on the Left and the Trendline option.After that, click on the Chart Elements icon and check only Primary Vertical from the Axes option.You can modify the chart according to your desire from the Chart Design and Format tab.Then, choose the Scatter chart from the Scatter section.Now, in the Insert tab, click on the drop-down arrow of the Insert Scatter (X, Y) or Bubble Chart from the Charts group.At first, select the range of cells C5:C14.The chart insertion is not mandatory, but this chart will help us to acknowledge the outlier. In this step, we are going to insert a chart. Read More: How to Find Outliers in Regression Analysis in Excel So, we can acknowledge that the value of cell C9 is an outlier with respect to the other data. Our other values are in the range of 75-89. Now, if you look at column C, the value of corresponding cell C9 is 98 which is higher than the rest of the data. If you notice carefully, all the entities of that column are FALSE, except cell D9. Now, write down the following formula into cell F5.įrom the result of column D, we get the decision whether the value is an outlier or not.At first, select cell E5 and entitle the cell as Mean.To complete the calculation, we will the AVERAGE function. In this step, we are going to evaluate the mean or average of our dataset. The name of the students are in column B, and their examination marks are in column C. ![]() To demonstrate the procedure, we consider a dataset of 10 students and their examination marks. How to Find Outliers with Standard Deviation in Excel: Step-by-Step Procedure
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